Table : TABLE 16-2. Regression to the Mean One reason that regression equations are so named is because they predict a z score on the dependent variable that is closer to the mean than is the z score on the independent variable. This phenomenon is often called regression to the mean. The following predicted z scores for the dependent variable, Y, were calculated by multiplying the z score for the independent variable, X, by the Pearson correlation coefficient of −0.85.