1. Introduction.

2. Simple Linear regression.

3. Multiple Linear Regression.

4. Regression Diagnostics: Detection of Model Violations.

5. Qualitative Variables as Predictors.

6. Transformation of Variables.

7. Weighted Least Squar45es.

8. The Problem of Correlated Errors.

9. Analysis of Collinear Data.

10. Biased Estimation of Regression Coefficients.

11. Variable Selection Procedures.

12. Logistic Regression.

13. Further Topics.

Appendix A: Statistical Tables.

References.

Index.