Primer of Applied Regression & Analysis of Variance (Hardcover, 2, 1991. Corr. 3rd)

Why Do Multivariate Analysis?.

The First Step: Understanding Simple Linear Regression.

Regression With Two or More Independent Variables.

Do the Data Fit the Assumptions?.

Multicollinearity and What to Do About It.

Selecting the "Best" Regression Model.

One-Way Analysis of Variance.

Two-Way Analysis of Variance.

Repeated Measures.

Mixing Continuous and Categorical Variables: Analysis of Covariance.

Nonlinear Regression.

Regression With a Qualitative Dependent Variable.

APPENDIX A. A Brief Introduction to Matrices and Vectors.

APPENDIX B. Statistical Package Cookbook.

APPENDIX C. Data for Examples.

APPENDIX D. Data for Problems.

APPENDIX E. Statistical Tables.

APPENDIX F. Solutions to Problems.