Regression Analysis

The book provides the complete coverage of the classical methods of statistical analysis. It is designed to give students the right to think about what is the best situation in the world. experimental design.

* Examples and exercises contain real data and
graphical illustration for ease of interpretation
* Outputs from SAS 7, SPSS 7, Excel, and Minitab are
used for illustration, but any major statistical
software package will work equally well.
* Data sets are furnished on CD included in the text

1. The Analysis of Means: A Review of Basics and an
Introduction to Linear Models
2. Simple Linear Regression: Linear Regression with
One Independent Variable
3. Multiple Regression
4. Problems with Observations
5. Multicollinearity
6. Problems with the Model
7. Curve Fitting
8. Introduction to Nonlinear Models
9. Indicator Variables
10. Categorical Response Variables
11. Generalized Linear Models
Appendix A: Statistical Tables
Appendix B: A Brief Introduction to Matrices
Appendix C: Estimation Procedures
References