ABSTRACT
This chapter continues our study of the relationship between two random variables, X and Y . In Chapter 14, we quantified association by measures of correlation, e.g., Pearson’s product-moment correlation coefficient. Another way to quantify the association between X and Y is to quantify the extent to which knowledge of X allows one to predict values of Y . Notice that this approach to association is asymmetric: one variable (conventionally denoted X) is the predictor variable and the other variable (conventionally denoted Y ) is the response variable.1
