1st Edition
Classroom Supplement to Regression Analysis and its Application A Data-Oriented Approach
This book describes a comprehensive regression analysis to the conduct of scientific research. It outlines theoretical principals underlying the techniques utilized in regression analysis and illustrates their application on a variety of data sets.
Preface
1. Introduction
1.1 Exercises
1.2 Projects
2. Initial Data Exploration
2.1 Exercises
2.2 Projects
3. Single-Variable Least Squares
3.1 Exercises
3.2 Projects
4. Multiple-Variable Preliminaries
4.1 Exercises
4.2 Projects
5. Multiple-Variable Least Squares
5.1 Exercises
5.2 Projects
6. Inference
6.1 Exercises
6.2 Projects
7. Residual Analysis
7.1 Exercises
7.2 Projects
8. Variable Selection Techniques
8.1 Exercises
8.2 Projects
9. Multicollinearity Effects
9.1 Exercises
9.2 Projects
10. Biased Regression Estimators
10.1 Exercises
10.2 Projects
Appendix A. SMSAs IN data set B. 1 Nitrous Oxide emissions data
Appendix B. Solutions for Solid waste analysis
Appendix C. Text Errata
Biography
Richard Gunst
