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res <- read.csv("results_2017-01-18.csv")
cor.test(res$CONJI, res$X_LEN)
Pearson's product-moment correlation
data: res$CONJI and res$X_LEN
t = -2.6322, df = 3426, p-value = 0.008522
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
-0.07828427 -0.01146387
sample estimates:
cor
-0.04492431
cor.test(res$PREI, res$X_LEN)
Pearson's product-moment correlation
data: res$PREI and res$X_LEN
t = 7.8302, df = 3426, p-value = 6.446e-15
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
0.09955887 0.16533838
sample estimates:
cor
0.1325946
cor.test(res$PPI, res$X_LEN)
Pearson's product-moment correlation
data: res$PPI and res$X_LEN
t = -5.4536, df = 3426, p-value = 5.285e-08
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
-0.12585824 -0.05947848
sample estimates:
cor
-0.09277144
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