Correlations for all pairs of data series (method=pearson)
genderconnectedseparatelearningsoftwarehapinesspop
gender10.0640.240.1190.1630.182-0.042
connected0.06410.3680.2140.0620.1430.108
separate0.240.36810.080.0680.154-0.161
learning0.1190.2140.0810.5460.1830.142
software0.1630.0620.0680.54610.0740.039
hapiness0.1820.1430.1540.1830.07410.011
pop-0.0420.108-0.1610.1420.0390.0111


Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
gender;connected0.06450.03570.0304
p-value(0.4149)(0.652)(0.6505)
gender;separate0.23980.22830.1941
p-value(0.0021)(0.0035)(0.0038)
gender;learning0.11890.10770.0948
p-value(0.1319)(0.1724)(0.1717)
gender;software0.16340.18980.166
p-value(0.0377)(0.0156)(0.016)
gender;hapiness0.18180.16430.1422
p-value(0.0206)(0.0367)(0.0371)
gender;pop-0.0416-0.0416-0.0416
p-value(0.5996)(0.5996)(0.598)
connected;separate0.36820.32430.2413
p-value(0)(0)(0)
connected;learning0.21370.20760.1586
p-value(0.0063)(0.008)(0.0072)
connected;software0.06220.07480.0549
p-value(0.4317)(0.3439)(0.3491)
connected;hapiness0.14270.17170.1274
p-value(0.0701)(0.0289)(0.0283)
connected;pop0.10780.11830.1006
p-value(0.172)(0.1337)(0.1333)
separate;learning0.07960.08780.0665
p-value(0.3139)(0.2666)(0.2597)
separate;software0.06790.11110.0787
p-value(0.3906)(0.1594)(0.1795)
separate;hapiness0.15370.15430.1097
p-value(0.0509)(0.05)(0.0589)
separate;pop-0.1613-0.1749-0.1487
p-value(0.0404)(0.026)(0.0264)
learning;software0.54560.48810.3906
p-value(0)(0)(0)
learning;hapiness0.18290.15530.1199
p-value(0.0198)(0.0484)(0.0461)
learning;pop0.1420.14140.1244
p-value(0.0715)(0.0728)(0.0729)
software;hapiness0.0740.03120.0241
p-value(0.3492)(0.6933)(0.6863)
software;pop0.03860.03420.0299
p-value(0.626)(0.6662)(0.6648)
hapiness;pop0.01120.02110.0183
p-value(0.8876)(0.79)(0.7891)