CHAPTER 15 Multiple Regression
CHAPTER 15 Multiple Regression
Objectives
To show how we can predict a criterion variable on the basis of several
predictor variables simultaneously, and to point out the problems inherent in
this procedure.Contents
15.1 Multiple Linear Regression
15.2 Using Additional Predictors
15.3 Standard Errors and Tests of Regression Coefficients
15.4 Residual Variance
15.5 Distribution Assumptions
15.6 The Multiple Correlation Coefficient
15.7 Geometric Representation of Multiple Regression
15.8 Partial and Semipartial Correlation
15.9 Suppressor Variables
15.10 Regression Diagnostics
15.11 Constructing a Regression Equation
15.12 The “Importance” of Individual Variables
15.13 Using Approximate Regression Coefficients
15.14 Mediating and Moderating Relationships
15.15 Logistic Regression515