Preface.
1. Scatterplots and Regression.
2. Simple Linear Regression.
3. Multiple Regression.
4. Drawing Conclusions.
5. Weights, Lack of Fit, and More.
6. Polynomials and Factors.
7. Transformations.
8. Regression Diagnostics: Residuals.
9. Outliers and Influence.
10. Variable Selection.
11. Nonlinear Regression.
12. Logistic Regression.
Appendix A.1. Web Site.
Appendix A.2. Means and Variances of Random Variables.
Appendix A.3. Least Squares for Simple Regression.
Appendix A.4. Means and Variances of Least Squares Estimates.
Appendix A.5. Estimating E(Y/X) Using a Smoother.
Appendix A.6. A Brief Introduction to Matrices and Vectors.
Appendix A.7. Random Vectors.
Appendix A.8. Least Squares Using Matrices.
Appendix A.9. The QR Factorization.
Appendix A.10. Maximum Likelihood Estimates.
Appendix A.11. The Box-Cox Method for Transformations.
Appendix A.12. Case Deletion in Linear Regression.
References.
Author Index.
Subject Index.