Introduction to Linear Models and Statistical Inference

1. Data: Plots and Location.

2. Data: Dispersion and Correlation.

3. Random Variables: Probability and Density.

4. Random Variables: Expectation and Variance.

5. Statistical Inference.

6. Simple Linear Models.

7. Linear Model Diagnostics.

8. Linear Models: Two Independent Variables.

9. Linear Models: Several Independent Variables.

10. Model Building.

11. Extended Linear Models.

Appendix A: Data References.

Appendix B: MINITAB Reference.

Appendix C: Introduction to Linear Algebra.

Appendix D: Statistical Tables.

References.

Index.