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9781544339702 Academic Inspection Copy

Multiple Regression

A Practical Introduction
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Including many interesting example analyses and interpretations, along with exercises, this text offers a practical introduction to multiple regression. Each dataset used for the examples and exercises is small enough for readers to easily grasp the entire dataset and its analysis with respect to the specific statistical techniques covered. SPSS, Stata, SAS, and R code and commands for each type of analysis or recoding of variables in the book are available on an accompanying website, along with solutions to the exercises (on the instructor site).
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
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
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