Chapter 1 Introduction Chapter 2 Fundamentals of Multiple Regression Chapter 3 Categorical Independent Variables in Multiple Regression: Dummy Variables Chapter 4 Multiple Regression with Interaction Chapter 5 Logged Variables in Multiple Regression Chapter 6 Nonlinear Relationships in Multiple Regression Chapter 7 Categorical Dependent Variables: Logistic Regression Chapter 8 Count Dependent Variables: Poisson Regression Chapter 9 A Brief Tour of Some Related Methods
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Description
This book gives students the practical knowledge and foundation of regression analysis. It is refreshing that the book includes two chapters the extend past linear regression to other types of analysis. -- Margaret Ralston