ABSTRACT

MULTIPLE REGRESSION is the natural extension of simple linear regression presented in Chapter 15. In simple regression, we measured the amount of influence one variable (the independent or predictor variable) had on a second variable (the dependent or criterion variable). We also computed the constant and coefficient for a regression equation designed to predict the values of the dependent variable, based on the values of the independent variable. While simple regression shows the influence of one variable on another, multiple regression analysis shows the influence of two or more variables on a designated dependent variable.