Understanding Regression Analysis

Series Editor's Introduction Preface Acknowledgments About the Authors 1. Linear Regression Introduction Hypothesized Relationships A Numerical Example Estimating a Linear Relationship Least Squares Regression Examples The Linear Correlation Coefficient The Coefficient of Determination Regression and Correlation Summary 2. Multiple Linear Regression Introduction Estimating Regression Coefficients Standardized Coefficients Associated Statistics Examples Summary 3. Hypothesis Testing Introduction Concepts Underlying Hypothesis Testing The Standard Error of the Regression Coefficient The Student's t Distribution Left-Tail Tests Two-Tail Tests Confidence Intervals F Statistic What Tests of Significance Can and Cannot Do Summary 4. Extensions to the Multiple Regression Model Introduction Types of Data Dummy Variables Interaction Variables Transformations Prediction Examples Summary 5. Problems and Issues Associated With Regression Introduction Specification of the Model Variables Used in Regression Equations and Measurement of Variables Violations of Assumptions Regarding Residual Errors Additional Topics Conclusions Appendix A: Derivation of a and b Appendix B: Critical Values for Student's t Distribution Appendix C: Regression Output From SAS, Stata, SPSS, R, and EXCEL Appendix D: Suggested Textbooks References Index