Two Tailed Or One Tailed Pearson Correlation. Im too embarrassed to ask folks around me because I should already know this. So let me ask you.
You should only choose a one-tail P value when you have specified the anticipated sign of the correlation coefficient before collecting any data and are willing to attribute any correlation in the wrong direction to chance. The Pearson correlation coefficient measures the linear relationship between two datasets. Click OK and read the results.
Thats the Pearson Correlation figure inside the square red box above which in this case is 094.
The docs indicate that numpycorrelate is not what you are looking for. Which of the row of numbers should I use in my analysis about the correlations between two variables. The Pearson correlation coefficient measures the linear relationship between two datasets. Usually when performing the test a two-tailed analysis is performed.
