Can you relate in multiple ways? Multiple linear regression and stepwise regression

Abstract Chapter 9 considers the relationship between two variables. Chapter 10 expands the perspective of Chapter 9 and considers the relationship between one dependent variable and several independent variables. For example, we might wish to predict an overall evaluation of a product (Y, the dependent variable) based on the knowledge of several X’s (independent variables), each of which is an evaluation of individual components of the product. When there is more than one independent (X) variable, we refer to the analysis as multiple regression. We also introduce a prominent variation of the traditional multiple regression process called stepwise regression. This technique was invented specifically to help the user determine the best model—in essence, when there are several independent variables, which ones should we include in the final prediction equation?