The article discusses correlation and regression, focusing on how to calculate and interpret correlation coefficients and regression equations. It also covers fitting a curvilinear model and confidence and prediction intervals for regression models. Multiple correlation and regression are explored in Chapter 13, where ANOVAs and t tests are shown to be special cases of regression. These techniques are all based on the general linear model.