Pearson’s correlation coefficient (x) is used to assess the extent to which a variable has a straight-line relationship (correlation) with protected status (y). In fair lending applications, the Pearson correlation helps uncover whether certain variables are proxies for protected groups, like race or gender, even if the variables don’t appear on their face to be related to those groups. Here are three key types of possible correlations:
Fair Lending Analysis
Identify and overcome tradeoffs between performance and disparity.