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A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5202854116250308,"r_squared":0.0071622233381050905,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.6468428467978048,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.1529554844113735,"interpretation":"No significant correlation (r = 0.153, p = 0.2433)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.2433131514725252,"r_squared":0.023395380211517918,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.1787444566649972,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6196113301202799,"interpretation":"strong positive correlation (r = 0.620, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.3025681318266224e-07,"r_squared":0.3839182004134225,"significant":true,"source":{"kind":"arrays"},"t_statistic":6.011933359302918,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.0017325255137450072,"interpretation":"No significant correlation (r = 0.002, p = 0.9895)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9895178670416159,"r_squared":3.001644655777401e-06,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.0131945410154789,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.1063522249582291,"interpretation":"No significant correlation (r = 0.106, p = 0.4186)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.4186481538802559,"r_squared":0.011310795753565769,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.8145742567809287,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.22004823855774663,"interpretation":"No significant correlation (r = 0.220, p = 0.0911)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.09114140749398231,"r_squared":0.048421227292366975,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.7179460472170436,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.016729094553959847,"interpretation":"No significant correlation (r = 0.017, p = 0.8990)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.8990465144330678,"r_squared":0.000279862604595329,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.1274228200783508,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.036510346891774285,"interpretation":"No significant correlation (r = 0.037, p = 0.7818)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7818176471523633,"r_squared":0.0013330054301576922,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.2782400275198559,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.18954642454523712,"interpretation":"No significant correlation (r = -0.190, p = 0.1469)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.14691331985858913,"r_squared":0.03592784705788327,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.4701946030830182,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5576633122914508,"interpretation":"strong positive correlation (r = 0.558, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":3.6791030233888535e-06,"r_squared":0.3109883698758722,"significant":true,"source":{"kind":"arrays"},"t_statistic":5.116497831762409,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.16468178551960508,"interpretation":"No significant correlation (r = 0.165, p = 0.2086)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.20861205818890172,"r_squared":0.027120090481925208,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.2715397645837008,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.04630180599255282,"interpretation":"No significant correlation (r = 0.046, p = 0.7254)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7253661930438535,"r_squared":0.0021438572381720002,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.35300264549249843,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.659014289855406,"interpretation":"strong positive correlation (r = 0.659, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.0362934230930846e-08,"r_squared":0.43429983423362506,"significant":true,"source":{"kind":"arrays"},"t_statistic":6.672916271658401,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.06876358556220263,"interpretation":"No significant correlation (r = 0.069, p = 0.6016)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6016324319656944,"r_squared":0.0047284306993703624,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.5249303845918004,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.054092237161562716,"interpretation":"No significant correlation (r = -0.054, p = 0.6815)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6814513731409866,"r_squared":0.0029259701211427464,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.4125582136657372,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.630939578050925,"interpretation":"strong positive correlation (r = 0.631, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":6.524444878303931e-08,"r_squared":0.39808475115107933,"significant":true,"source":{"kind":"arrays"},"t_statistic":6.193470806923535,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.23156461759445282,"interpretation":"No significant correlation (r = 0.232, p = 0.0750)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.07503613814873321,"r_squared":0.05362217212166517,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.812816809227772,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.043832960298906556,"interpretation":"No significant correlation (r = -0.044, p = 0.7395)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7394768494160057,"r_squared":0.0019213284085655184,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.33414303378102145,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6207402184697359,"interpretation":"strong positive correlation (r = 0.621, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.2173452579142062e-07,"r_squared":0.3853184188258555,"significant":true,"source":{"kind":"arrays"},"t_statistic":6.029742717078024,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.1086474793475617,"interpretation":"No significant correlation (r = 0.109, p = 0.4086)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.40861895393797676,"r_squared":0.011804274768578848,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.8323618491831304,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.03968719517603083,"interpretation":"No significant correlation (r = -0.040, p = 0.7634)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7633630057348215,"r_squared":0.0015750734609403648,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.3024869871589583,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5465481793308928,"interpretation":"strong positive correlation (r = 0.547, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":6.252341470188473e-06,"r_squared":0.2987149123299138,"significant":true,"source":{"kind":"arrays"},"t_statistic":4.970443559815853,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.11292323919077563,"interpretation":"No significant correlation (r = 0.113, p = 0.3903)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.39031190391310755,"r_squared":0.012751657949337124,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.865533970185708,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.06474789937840288,"interpretation":"No significant correlation (r = 0.065, p = 0.6231)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6230721145415681,"r_squared":0.004192290473915784,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.49414219241889334,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.15196548555658465,"interpretation":"No significant correlation (r = -0.152, p = 0.2464)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.24641360442580618,"r_squared":0.02309350880044854,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.170934120055715,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.008730785822122401,"interpretation":"No significant correlation (r = -0.009, p = 0.9472)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9472130427306582,"r_squared":7.622662107177353e-05,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.06649421822026297,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.0098564937587851,"interpretation":"No significant correlation (r = -0.010, p = 0.9404)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9404185616316063,"r_squared":9.715046921696963e-05,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.07506846664321826,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6606121290027224,"interpretation":"strong positive correlation (r = 0.661, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":9.278388257635895e-09,"r_squared":0.4364083849855095,"significant":true,"source":{"kind":"arrays"},"t_statistic":6.7015965427447455,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.09914294401150893,"interpretation":"No significant correlation (r = 0.099, p = 0.4511)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.4510517058221827,"r_squared":0.009829323347269193,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.7587885648843938,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.004511756368672579,"interpretation":"No significant correlation (r = 0.005, p = 0.9727)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9727073738267561,"r_squared":2.0355945530257576e-05,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.0343608625384497,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6559526770753884,"interpretation":"strong positive correlation (r = 0.656, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.2784318878158393e-08,"r_squared":0.4302739145623688,"significant":true,"source":{"kind":"arrays"},"t_statistic":6.618406736835191,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.013448011566481408,"interpretation":"No significant correlation (r = -0.013, p = 0.9188)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9187716437431656,"r_squared":0.00018084901509221772,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.10242626707890301,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.16169357738321247,"interpretation":"No significant correlation (r = -0.162, p = 0.2171)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.2171034234753788,"r_squared":0.02614481296698092,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.2478419324694054,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5994401183210166,"interpretation":"strong positive correlation (r = 0.599, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":4.177783313298545e-07,"r_squared":0.3593284554527144,"significant":true,"source":{"kind":"arrays"},"t_statistic":5.7035083866776795,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.09344965120243348,"interpretation":"No significant correlation (r = 0.093, p = 0.4776)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.4775880790283489,"r_squared":0.008732837309856478,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.7148193852301036,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.03768438572397874,"interpretation":"No significant correlation (r = 0.038, p = 0.7750)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7749829901272818,"r_squared":0.0014201129273936125,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.2871997317852656,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6911571883770281,"interpretation":"strong positive correlation (r = 0.691, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":9.792793016319332e-10,"r_squared":0.4776982590452387,"significant":true,"source":{"kind":"arrays"},"t_statistic":7.283331702060635,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.08327562889736317,"interpretation":"No significant correlation (r = 0.083, p = 0.5270)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5270071766004417,"r_squared":0.006934830368251348,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.6364188625030675,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.03875831419176556,"interpretation":"No significant correlation (r = -0.039, p = 0.7687)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7687459444711412,"r_squared":0.0015022069189876155,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.29539648355854853,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.7162366138658752,"interpretation":"very strong positive correlation (r = 0.716, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.2449223828991056e-10,"r_squared":0.5129948870420549,"significant":true,"source":{"kind":"arrays"},"t_statistic":7.8163456213621405,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.08568717875154867,"interpretation":"No significant correlation (r = -0.086, p = 0.5151)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5150679929708049,"r_squared":0.007342292602399854,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.6549830801502426,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.20237413738066037,"interpretation":"No significant correlation (r = 0.202, p = 0.1210)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.1209732541294789,"r_squared":0.0409552914805664,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.5738001436966897,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.17480174605912976,"interpretation":"No significant correlation (r = -0.175, p = 0.1816)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.18160268051309436,"r_squared":0.030555650425320487,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.3520673370800154,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.002445143396575586,"interpretation":"No significant correlation (r = 0.002, p = 0.9852)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9852067944472161,"r_squared":5.978726229817194e-06,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.01862171298676622,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5934735579810313,"interpretation":"strong positive correlation (r = 0.593, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":5.808727942464796e-07,"r_squared":0.3522108640226645,"significant":true,"source":{"kind":"arrays"},"t_statistic":5.615630712144587,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.2307877486309714,"interpretation":"No significant correlation (r = -0.231, p = 0.0760)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.07604596808991076,"r_squared":0.05326298491815244,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.8063922807085504,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.07561553365596287,"interpretation":"No significant correlation (r = -0.076, p = 0.5658)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5658207121178644,"r_squared":0.005717708930076053,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.5775241719983448,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6894996087246145,"interpretation":"strong positive correlation (r = 0.689, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.114157526724958e-09,"r_squared":0.47540971043139646,"significant":true,"source":{"kind":"arrays"},"t_statistic":7.24999817388781,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.2916618309192271,"interpretation":"weak negative correlation (r = -0.292, p = 0.0238)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.023754010953989907,"r_squared":0.08506662361515581,"significant":true,"source":{"kind":"arrays"},"t_statistic":-2.3221959279161015,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.0718056081141009,"interpretation":"No significant correlation (r = -0.072, p = 0.5856)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5856103789046754,"r_squared":0.0051560453566358334,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.5482704995775287,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5369980176541977,"interpretation":"strong positive correlation (r = 0.537, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":9.715090504875125e-06,"r_squared":0.28836687096453806,"significant":true,"source":{"kind":"arrays"},"t_statistic":4.847955227930271,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.2829683255701198,"interpretation":"weak negative correlation (r = -0.283, p = 0.0285)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.028470372051693615,"r_squared":0.08007107327595732,"significant":true,"source":{"kind":"arrays"},"t_statistic":-2.246853126114732,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.12194352518927164,"interpretation":"No significant correlation (r = -0.122, p = 0.3533)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.3533190459778939,"r_squared":0.014870223335586526,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.9356771402204095,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5611607802063537,"interpretation":"strong positive correlation (r = 0.561, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":3.1013002553596875e-06,"r_squared":0.31490142124180365,"significant":true,"source":{"kind":"arrays"},"t_statistic":5.163269261745323,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.18381121695662775,"interpretation":"No significant correlation (r = -0.184, p = 0.1598)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.1597671268782369,"r_squared":0.03378656347907648,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.424129461175273,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.09481970538456468,"interpretation":"No significant correlation (r = -0.095, p = 0.4711)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.47112733358181724,"r_squared":0.008990776529215644,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.7253936509795762,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.29592202205785934,"interpretation":"weak positive correlation (r = 0.296, p = 0.0217)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.021695216261686856,"r_squared":0.08756984313881219,"significant":true,"source":{"kind":"arrays"},"t_statistic":2.359345087798588,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.009590159714968394,"interpretation":"No significant correlation (r = -0.010, p = 0.9420)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9420257215105792,"r_squared":9.197116335860268e-05,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.07303983929492279,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.08713771696382547,"interpretation":"No significant correlation (r = -0.087, p = 0.5080)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5079531146865761,"r_squared":0.007592981717667756,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.6661549516167115,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.03748665898771745,"interpretation":"No significant correlation (r = 0.037, p = 0.7761)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7761328819243338,"r_squared":0.0014052496020614173,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.2856906932835884,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.7723203842843325,"interpretation":"very strong positive correlation (r = 0.772, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":4.964909628689601e-13,"r_squared":0.596478775981099,"significant":true,"source":{"kind":"arrays"},"t_statistic":9.259303151444971,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.07599353156848075,"interpretation":"No significant correlation (r = -0.076, p = 0.5639)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5638744864117123,"r_squared":0.005775016840249681,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.5804279111501678,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.04495879263920657,"interpretation":"No significant correlation (r = -0.045, p = 0.7330)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7330312495456094,"r_squared":0.0020212930355751747,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.3427425306156775,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5169153084248722,"interpretation":"strong positive correlation (r = 0.517, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":2.3521249717642835e-05,"r_squared":0.2672014360839808,"significant":true,"source":{"kind":"arrays"},"t_statistic":4.598763608296593,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.023628085389703464,"interpretation":"No significant correlation (r = -0.024, p = 0.8578)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.8577828104061055,"r_squared":0.0005582864191831183,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.17999638903841203,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.0027679690373921774,"interpretation":"No significant correlation (r = -0.003, p = 0.9833)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9832539507264407,"r_squared":7.661652591961777e-06,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.021080304907976403,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5191811578987735,"interpretation":"strong positive correlation (r = 0.519, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":2.1347331968340174e-05,"r_squared":0.2695490747171112,"significant":true,"source":{"kind":"arrays"},"t_statistic":4.626338410793701,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.12761120076858004,"interpretation":"No significant correlation (r = -0.128, p = 0.3312)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.33122041331602614,"r_squared":0.016284618561598845,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.9798690965435858,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.06834894749882045,"interpretation":"No significant correlation (r = 0.068, p = 0.6038)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6038311210035288,"r_squared":0.004671578624196514,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.5217502013653667,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5464567310335277,"interpretation":"strong positive correlation (r = 0.546, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":6.279187099781437e-06,"r_squared":0.2986149588918492,"significant":true,"source":{"kind":"arrays"},"t_statistic":4.969257787540728,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.001057694067586229,"interpretation":"No significant correlation (r = -0.001, p = 0.9936)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9936006225605513,"r_squared":1.1187167406071023e-06,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.008055162539878856,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.14318221064493847,"interpretation":"No significant correlation (r = 0.143, p = 0.2751)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.27510173388410064,"r_squared":0.02050114544517153,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.1017957528035431,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.016039404903415995,"interpretation":"No significant correlation (r = -0.016, p = 0.9032)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9031881382275918,"r_squared":0.0002572625096557251,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.12216818415515256,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.05596630728655186,"interpretation":"No significant correlation (r = 0.056, p = 0.6710)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.671035749741987,"r_squared":0.0031322275512927476,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.42689578959208224,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.017763152076319056,"interpretation":"No significant correlation (r = -0.018, p = 0.8928)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.8928419902876441,"r_squared":0.000315529571686438,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.13530148335182082,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.7105797960667809,"interpretation":"very strong positive correlation (r = 0.711, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":2.0202138376077475e-10,"r_squared":0.5049236465783079,"significant":true,"source":{"kind":"arrays"},"t_statistic":7.691140767108442,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.02440930339860421,"interpretation":"No significant correlation (r = 0.024, p = 0.8531)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.8531319147407418,"r_squared":0.000595814092405111,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.18595112075899645,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.014544073157400857,"interpretation":"No significant correlation (r = -0.015, p = 0.9122)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9121763574534062,"r_squared":0.00021153006400782815,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.11077607805694113,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6697231530424854,"interpretation":"strong positive correlation (r = 0.670, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":4.8765928213192614e-09,"r_squared":0.44852910172116833,"significant":true,"source":{"kind":"arrays"},"t_statistic":6.86828029448616,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.19730180364517846,"interpretation":"No significant correlation (r = 0.197, p = 0.1308)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.13077805960691247,"r_squared":0.03892800172164056,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.532735055119547,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.1133301613835879,"interpretation":"No significant correlation (r = 0.113, p = 0.3886)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.38859531395500657,"r_squared":0.012843725479230078,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.8686934538341667,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.7337663072916125,"interpretation":"very strong positive correlation (r = 0.734, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":2.5712537931907735e-11,"r_squared":0.5384129937163691,"significant":true,"source":{"kind":"arrays"},"t_statistic":8.225171755131905,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.016522301385682607,"interpretation":"No significant correlation (r = 0.017, p = 0.9003)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9002880426992388,"r_squared":0.0002729864430793294,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.12584727701277362,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.07883940327107296,"interpretation":"No significant correlation (r = -0.079, p = 0.5493)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5493234960187161,"r_squared":0.0062156515081388695,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.6022977613542967,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6998912978924551,"interpretation":"strong positive correlation (r = 0.700, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":4.890684305793645e-10,"r_squared":0.4898478288655853,"significant":true,"source":{"kind":"arrays"},"t_statistic":7.462678306103801,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.009032421499048727,"interpretation":"No significant correlation (r = 0.009, p = 0.9454)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.945392061225343,"r_squared":8.158463813647764e-05,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.0687916789626372,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.11209174292969967,"interpretation":"No significant correlation (r = 0.112, p = 0.3938)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.39383347284362413,"r_squared":0.012564558833017877,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.859079317508644,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.01575187820266015,"interpretation":"No significant correlation (r = -0.016, p = 0.9049)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9049155161144462,"r_squared":0.00024812166691143994,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.11997761582908659,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.03970701716046409,"interpretation":"No significant correlation (r = 0.040, p = 0.7632)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7632482560873111,"r_squared":0.0015766472117813898,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.3026383044362871,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6117158972294843,"interpretation":"strong positive correlation (r = 0.612, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":2.0755181779549282e-07,"r_squared":0.374196338923273,"significant":true,"source":{"kind":"arrays"},"t_statistic":5.889042846218121,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.1142418701280454,"interpretation":"No significant correlation (r = -0.114, p = 0.3848)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.38476558417858675,"r_squared":0.013051204890353192,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.8757738837178011,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.09582696500979693,"interpretation":"No significant correlation (r = 0.096, p = 0.4664)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.46640753472795626,"r_squared":0.009182807222988844,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.7331704681392567,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5701722779948663,"interpretation":"strong positive correlation (r = 0.570, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.9788708286918187e-06,"r_squared":0.325096426593855,"significant":true,"source":{"kind":"arrays"},"t_statistic":5.28566008746585,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.10564879646149372,"interpretation":"No significant correlation (r = -0.106, p = 0.4217)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.42174981755668894,"r_squared":0.011161668193762127,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.8091255293103291,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.06376215225527179,"interpretation":"No significant correlation (r = 0.064, p = 0.6284)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.628383855734788,"r_squared":0.004065612060224461,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.4865882312215868,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6100852429843817,"interpretation":"strong positive correlation (r = 0.610, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":2.2815333546982704e-07,"r_squared":0.3722040037073121,"significant":true,"source":{"kind":"arrays"},"t_statistic":5.864017343897581,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.00905392948459212,"interpretation":"No significant correlation (r = 0.009, p = 0.9453)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9452622275253315,"r_squared":8.197363911196654e-05,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.06895549899566189,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.012429735490970671,"interpretation":"No significant correlation (r = -0.012, p = 0.9249)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9249037647946202,"r_squared":0.0001544983243754959,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.09466935867626751,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.15846844861606485,"interpretation":"No significant correlation (r = 0.158, p = 0.2265)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.2265365116004172,"r_squared":0.025112249206782386,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.222304740863946,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.012860403644506732,"interpretation":"No significant correlation (r = 0.013, p = 0.9223)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9223097036286225,"r_squared":0.00016538998189964205,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.09795001651705938,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.004210340625887938,"interpretation":"No significant correlation (r = -0.004, p = 0.9745)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9745300803873351,"r_squared":1.7726968186002432e-05,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.03206528311654997,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.15633897086841184,"interpretation":"No significant correlation (r = -0.156, p = 0.2329)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.2329188614640827,"r_squared":0.024441873812194124,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.2054651797511853,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6396954399102753,"interpretation":"strong positive correlation (r = 0.640, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":3.7500114096798735e-08,"r_squared":0.40921025584200066,"significant":true,"source":{"kind":"arrays"},"t_statistic":6.338270618296523,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.13265521282402493,"interpretation":"No significant correlation (r = 0.133, p = 0.3123)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.3123029305908491,"r_squared":0.017597405489387347,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.0192801511514131,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.10006587507040887,"interpretation":"No significant correlation (r = -0.100, p = 0.4468)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.446827876559585,"r_squared":0.010013179353606676,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.7659233115775037,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.711951150498059,"interpretation":"very strong positive correlation (r = 0.712, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.798398134751674e-10,"r_squared":0.5068744406955099,"significant":true,"source":{"kind":"arrays"},"t_statistic":7.721211278487891,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.09950319915898126,"interpretation":"No significant correlation (r = -0.100, p = 0.4494)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.44940037158393276,"r_squared":0.009900886642871889,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.7615732919000436,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.051888652600937106,"interpretation":"No significant correlation (r = -0.052, p = 0.6938)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6937743003739467,"r_squared":0.002692432268740737,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.39570526884654245,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.7021624870387468,"interpretation":"very strong positive correlation (r = 0.702, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":4.0662160485510557e-10,"r_squared":0.4930321582044383,"significant":true,"source":{"kind":"arrays"},"t_statistic":7.510371406338736,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.05714455783902774,"interpretation":"No significant correlation (r = 0.057, p = 0.6645)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6645185416177748,"r_squared":0.003265500490617987,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.4359123046534487,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.11443311984705576,"interpretation":"No significant correlation (r = 0.114, p = 0.3840)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.3839650809916234,"r_squared":0.013094938917930626,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.877259433809484,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.16086677954972292,"interpretation":"No significant correlation (r = -0.161, p = 0.2195)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.21949504029874622,"r_squared":0.02587812076269915,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.2412913112189494,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.04232587337132123,"interpretation":"No significant correlation (r = -0.042, p = 0.7481)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7481331041947956,"r_squared":0.0017914795566451197,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.32263337319816854,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.03867204775540995,"interpretation":"No significant correlation (r = -0.039, p = 0.7692)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7692464210984739,"r_squared":0.0014955272775967077,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.2947380180803514,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6075186600093203,"interpretation":"strong positive correlation (r = 0.608, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":2.6451498032493903e-07,"r_squared":0.3690789222595201,"significant":true,"source":{"kind":"arrays"},"t_statistic":5.824868165588254,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.03602608595480184,"interpretation":"No significant correlation (r = 0.036, p = 0.7846)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.784641587334957,"r_squared":0.0012978788692227705,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.27454471726372637,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.042981158762114495,"interpretation":"No significant correlation (r = 0.043, p = 0.7444)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7443654700158688,"r_squared":0.0018473800085340916,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.32763752836930776,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6381757517816153,"interpretation":"strong positive correlation (r = 0.638, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":4.133527673689388e-08,"r_squared":0.4072682901620299,"significant":true,"source":{"kind":"arrays"},"t_statistic":6.312846285428783,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.00459959884181869,"interpretation":"No significant correlation (r = -0.005, p = 0.9722)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.972176202822012,"r_squared":2.1156309505659836e-05,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.035029871710649384,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.018196545510195467,"interpretation":"No significant correlation (r = 0.018, p = 0.8902)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.8902434312167369,"r_squared":0.00033111426850461484,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.1386037106491276,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.7575938521080581,"interpretation":"very strong positive correlation (r = 0.758, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":2.443984915561318e-12,"r_squared":0.5739484447519262,"significant":true,"source":{"kind":"arrays"},"t_statistic":8.839330268834384,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.13694705914359018,"interpretation":"No significant correlation (r = -0.137, p = 0.2968)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.2967638252524305,"r_squared":0.018754497008077985,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.0528775549000031,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.158772988184151,"interpretation":"No significant correlation (r = 0.159, p = 0.2256)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.2256337920135234,"r_squared":0.025208861776924555,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.224714413657483,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.14497096584816446,"interpretation":"No significant correlation (r = -0.145, p = 0.2691)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.2690864836628255,"r_squared":0.021016580938949668,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.1158539650795885,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.042062881264276396,"interpretation":"No significant correlation (r = -0.042, p = 0.7496)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.749646860157282,"r_squared":0.0017692859802526143,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.3206251242268627,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6341243185710457,"interpretation":"strong positive correlation (r = 0.634, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":5.344853372783541e-08,"r_squared":0.40211365140319305,"significant":true,"source":{"kind":"arrays"},"t_statistic":6.245670760300366,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.22622235789474426,"interpretation":"No significant correlation (r = -0.226, p = 0.0822)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.08220035897138107,"r_squared":0.05117655521145776,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.7687107598324723,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.016004946140747312,"interpretation":"No significant correlation (r = 0.016, p = 0.9034)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9033951332066023,"r_squared":0.0002561583009682223,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.12190565295198766,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5226420490972119,"interpretation":"strong positive correlation (r = 0.523, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.838360693228794e-05,"r_squared":0.27315471148453246,"significant":true,"source":{"kind":"arrays"},"t_statistic":4.668714908305411,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.11551803712061803,"interpretation":"No significant correlation (r = -0.116, p = 0.3794)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.37944282066431956,"r_squared":0.013344416900200487,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.8856885060298791,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.004393040791836675,"interpretation":"No significant correlation (r = -0.004, p = 0.9734)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9734252488104799,"r_squared":1.9298807398741002e-05,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.033456724754434064,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.3560096821769174,"interpretation":"moderate positive correlation (r = 0.356, p = 0.0052)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.005242692427990266,"r_squared":0.12674289380370976,"significant":true,"source":{"kind":"arrays"},"t_statistic":2.901380861325297,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.16833001937474623,"interpretation":"No significant correlation (r = 0.168, p = 0.1986)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.19856642098048372,"r_squared":0.02833499542270244,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.3005207608618103,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.11166572849707916,"interpretation":"No significant correlation (r = 0.112, p = 0.3956)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.39564497081480066,"r_squared":0.012469234920783397,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.8557730059128517,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.1750478877259694,"interpretation":"No significant correlation (r = -0.175, p = 0.1810)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.18097884769529526,"r_squared":0.03064176299732359,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.354031347264942,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6558195746321955,"interpretation":"strong positive correlation (r = 0.656, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.2900861204711448e-08,"r_squared":0.4300993144707539,"significant":true,"source":{"kind":"arrays"},"t_statistic":6.6160500544454495,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.05834229632876168,"interpretation":"No significant correlation (r = -0.058, p = 0.6579)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6579187639025948,"r_squared":0.0034038235409130386,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.4450798235925336,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.11206047313236557,"interpretation":"No significant correlation (r = -0.112, p = 0.3940)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.3939662716972122,"r_squared":0.012557549638649626,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.8588366153244852,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6068650872355172,"interpretation":"strong positive correlation (r = 0.607, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":2.746085886407148e-07,"r_squared":0.36828523410537195,"significant":true,"source":{"kind":"arrays"},"t_statistic":5.8149453297729785,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.08443716175884787,"interpretation":"No significant correlation (r = 0.084, p = 0.5212)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.521239495912563,"r_squared":0.0071296342858898415,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.64535896763848,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.06717518823800021,"interpretation":"No significant correlation (r = 0.067, p = 0.6101)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6100741508683374,"r_squared":0.004512505914810762,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.5127491919183571,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.10493347213400409,"interpretation":"No significant correlation (r = -0.105, p = 0.4249)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.4249173490731778,"r_squared":0.011011033574097813,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.8035859168848808,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.1925707960676067,"interpretation":"No significant correlation (r = 0.193, p = 0.1405)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.14045331704210173,"r_squared":0.03708351149811176,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.4945488365583994,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.20163375997126476,"interpretation":"No significant correlation (r = 0.202, p = 0.1224)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.122368407428742,"r_squared":0.04065617316014961,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.5677979882570923,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5814412841802186,"interpretation":"strong positive correlation (r = 0.581, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.1069387001818511e-06,"r_squared":0.33807396694914166,"significant":true,"source":{"kind":"arrays"},"t_statistic":5.44270919690229,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.05076740053105792,"interpretation":"No significant correlation (r = 0.051, p = 0.7001)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7000752369118015,"r_squared":0.00257732895668086,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.3871322090068655,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.07802506742046555,"interpretation":"No significant correlation (r = 0.078, p = 0.5535)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5534687305485866,"r_squared":0.0060879111459681955,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.5960382939137406,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6999464531085039,"interpretation":"strong positive correlation (r = 0.700, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":4.868905122792463e-10,"r_squared":0.489925037219175,"significant":true,"source":{"kind":"arrays"},"t_statistic":7.463831229033221,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.08741217908963218,"interpretation":"No significant correlation (r = -0.087, p = 0.5066)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5066125541206792,"r_squared":0.00764088905319793,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.668269304123978,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.0477188833393812,"interpretation":"No significant correlation (r = 0.048, p = 0.7173)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7173073925419063,"r_squared":0.002277091827157473,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.3638306623751088,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.18737386868631975,"interpretation":"No significant correlation (r = -0.187, p = 0.1517)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.15168864938693594,"r_squared":0.0351089666664782,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.4527265883184448,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.06553559615517934,"interpretation":"No significant correlation (r = 0.066, p = 0.6188)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6188412451495214,"r_squared":0.004294914363414758,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.5001795005262432,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6174761646955867,"interpretation":"strong positive correlation (r = 0.617, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":1.479332059020761e-07,"r_squared":0.3812768139671714,"significant":true,"source":{"kind":"arrays"},"t_statistic":5.978414178404612,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.11846396909512656,"interpretation":"No significant correlation (r = -0.118, p = 0.3673)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.36732520500746935,"r_squared":0.014033711973771101,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.9085927001755777,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.12863791754067838,"interpretation":"No significant correlation (r = 0.129, p = 0.3273)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.3273124120381323,"r_squared":0.016547713829202372,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.9878849075451146,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.251237428189575,"interpretation":"No significant correlation (r = 0.251, p = 0.0528)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.05282842818855323,"r_squared":0.06312024532331185,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.9767712164470237,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.04617382452485048,"interpretation":"No significant correlation (r = 0.046, p = 0.7261)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7260954886749873,"r_squared":0.0021320220712516833,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.3520248335990785,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.008154818314311078,"interpretation":"No significant correlation (r = -0.008, p = 0.9507)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9506909101092478,"r_squared":6.650106173942338e-05,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.06210731113673694,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.031306440038909075,"interpretation":"No significant correlation (r = -0.031, p = 0.8123)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.8123033561719138,"r_squared":0.0009800931879098093,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.23853966829681492,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.5408381915592432,"interpretation":"strong positive correlation (r = 0.541, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":8.15051118005452e-06,"r_squared":0.2925059494490726,"significant":true,"source":{"kind":"arrays"},"t_statistic":4.89688553690391,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.07329542105119961,"interpretation":"No significant correlation (r = 0.073, p = 0.5778)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5778347256956999,"r_squared":0.005372218747072635,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.5597067546202579,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.06713407478419903,"interpretation":"No significant correlation (r = -0.067, p = 0.6103)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6102933316758598,"r_squared":0.004506983997130428,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.5124339511052897,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.18789531688374292,"interpretation":"No significant correlation (r = -0.188, p = 0.1505)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.15053212994437914,"r_squared":0.03530465010684217,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.4569171650226473,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.051959319153355076,"interpretation":"No significant correlation (r = -0.052, p = 0.6934)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6933778703174553,"r_squared":0.0026997708468802116,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.3962456331170689,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.14554465550661325,"interpretation":"No significant correlation (r = -0.146, p = 0.2672)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.26717603857309313,"r_squared":0.021183246746538726,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.1203650752475633,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.6767546303488513,"interpretation":"strong positive correlation (r = 0.677, p = 0.0000)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":2.9226940386814387e-09,"r_squared":0.4579968296986104,"significant":true,"source":{"kind":"arrays"},"t_statistic":7.00074597298765,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.08687397407761094,"interpretation":"No significant correlation (r = -0.087, p = 0.5092)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.5092430247972979,"r_squared":0.007547087372037417,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.6641233201045,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.2858689244182996,"interpretation":"weak positive correlation (r = 0.286, p = 0.0268)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.026816346891967015,"r_squared":0.08172104194807549,"significant":true,"source":{"kind":"arrays"},"t_statistic":2.2719231038536547,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.04559507485082718,"interpretation":"No significant correlation (r = -0.046, p = 0.7294)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7293964747355979,"r_squared":0.002078910850652533,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.3476032508762379,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.01835550434750203,"interpretation":"No significant correlation (r = -0.018, p = 0.8893)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.8892906252136425,"r_squared":0.0003369245398511659,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.13981491187597353,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.09817214516027582,"interpretation":"No significant correlation (r = 0.098, p = 0.4555)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.45551825130593515,"r_squared":0.009637770085370267,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.7512859086251095,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.04104494630881015,"interpretation":"No significant correlation (r = -0.041, p = 0.7555)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.7555148004185822,"r_squared":0.001684687617493108,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.31285263879841196,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.11808731199845415,"interpretation":"No significant correlation (r = 0.118, p = 0.3689)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.36886129275081647,"r_squared":0.013944613255020255,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.9056629026785089,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.009054146188571746,"interpretation":"No significant correlation (r = -0.009, p = 0.9453)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. 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A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.1547564489721468,"r_squared":0.03459778620680998,"significant":false,"source":{"kind":"arrays"},"t_statistic":-1.441730237141715,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":-0.006456748269896642,"interpretation":"No significant correlation (r = -0.006, p = 0.9609)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.9609494562234541,"r_squared":4.1689598220813286e-05,"significant":false,"source":{"kind":"arrays"},"t_statistic":-0.049174154861275125,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.14817584321538194,"interpretation":"No significant correlation (r = 0.148, p = 0.2585)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.25853045391159324,"r_squared":0.02195608051258945,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.141069837034615,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.060073928039428445,"interpretation":"No significant correlation (r = 0.060, p = 0.6484)","method":"pearson","n":60,"n_dropped":0,"notes":["Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.6484229675125593,"r_squared":0.003608876830086427,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.4583371942886599,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.adjust","method":"stats.adjust","params":{"method":"bonferroni","alpha":0.05},"result":{"alpha":0.05,"controls":"familywise_error_rate","method":"bonferroni","n_significant_adjusted":45,"n_significant_raw":50,"n_tests":190,"notes":["5 comparison(s) were significant on the raw p-values but are not after correction. Report the adjusted values.","Holm controls the same familywise error rate as Bonferroni and rejects at least as much, so there is no statistical reason to prefer bonferroni."],"results":[{"adjusted":1.0,"index":0,"label":"Glucose – Lactate","p_value":0.8479028958679946,"significant":false},{"adjusted":1.0,"index":1,"label":"Glucose – Pyruvate","p_value":0.32484314614738463,"significant":false},{"adjusted":0.00020080722690931277,"index":2,"label":"Glucose – Citrate","p_value":1.056880141627962e-06,"significant":true},{"adjusted":1.0,"index":3,"label":"Glucose – Succinate","p_value":0.7654647558506859,"significant":false},{"adjusted":1.0,"index":4,"label":"Glucose – Fumarate","p_value":0.3953447236295492,"significant":false},{"adjusted":1.6865637137936241e-07,"index":5,"label":"Glucose – Malate","p_value":8.8766511252296e-10,"significant":true},{"adjusted":1.0,"index":6,"label":"Glucose – 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