ABSTRACT
Multiple regression is very similar to simple regression. There are, however, a few important differences. We begin by briefly considering these similarities and differences with respect to the model, the new problem of redundancy among the predictors, and statistical inference. Then we will consider an extended example designed to illustrate the interpretation of the parameters in the multiple regression model.
