Pearson Correlation Coefficient Calculator
www.socscistatistics.com › tests › pearsonPearson Correlation Coefficient Calculator. The Pearson correlation coefficient is used to measure the strength of a linear association between two variables, where the value r = 1 means a perfect positive correlation and the value r = -1 means a perfect negataive correlation. So, for example, you could use this test to find out whether people ...
numpy - Calculating Pearson correlation and significance in ...
stackoverflow.com › questions › 3949226Oct 16, 2010 · The following code is a straight-up interpretation of the definition:. import math def average(x): assert len(x) > 0 return float(sum(x)) / len(x) def pearson_def(x, y): assert len(x) == len(y) n = len(x) assert n > 0 avg_x = average(x) avg_y = average(y) diffprod = 0 xdiff2 = 0 ydiff2 = 0 for idx in range(n): xdiff = x[idx] - avg_x ydiff = y[idx] - avg_y diffprod += xdiff * ydiff xdiff2 ...