So what you're doing is making assumptions about the population from which your samples were drawn, so therefore this is known as a parametric technique  Nearly there  Now, another interpretation of Pearson's R, or the correlation coefficient generally, is variants  If you square the correlation coefficient  it equally the proportion of variants in X accounted for by Y. Now that is actually a very good measure of how good a correlation is.