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Second Course in Statistics, A: Regression Analysis
ISBN: 9780133968217 | 0133968219
Edition: 6thFormat: Hardcover
Publisher: Addison Wesley
Pub. Date: 1/1/2003
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Appropriate for either the second term of an introductory statistics course or for a course in applied regression analysis for graduate students in all disciplines. This text focuses on building linear statistical models and on developing skills for implementing regression analysis in real life situations. The fifth edition now includes applications for engineering, sociology, psychology, etc., as well as traditional business applications. The authors use material from news articles, magazines, professional journals, and actual consulting probl... MORE
1. Review of Basic Concepts (Optional).
2. Introduction to Regression Analysis.
3. Simple Linear Regression.
4. Multiple Regression.
5. Model Building.
6. Some Regression Pitfalls.
7. Residual Analysis.
8. Special Topics in Regression (Optional).
9. Time Series Modeling and Forecasting.
10. Principles of Experimental Design.
11. The Analysis of Variance for Designed Experiments.
(Note:... MORE
12. Modeling the Sale Prices of Residential Properties in Four Neighborhoods.
13. An Analysis in Rain Levels in California.
14. Reluctance to Transmit Bad News: The MUM Effect.
15. An Investigation of Factors Affecting the Sale Price of Condominium Units Sold at Public Auction.
16. Modeling Daily Peak Electricity Demands.
Appendix A: The Mechanics of a Multiple Regression Analysis.
Appendix B: A Procedure for Inverting a Matrix.
Appendix C: Useful Statistical Tables.
Appendix D: SAS Tutorial.
Appendix E: SPSS Tutorial.
Appendix F: MINITAB Tutorial.
Appendix G: ASP Tutorial
Data Sets.
Answers to Odd-Numbered Exercises.
Index.
2. Introduction to Regression Analysis.
3. Simple Linear Regression.
4. Multiple Regression.
5. Model Building.
6. Some Regression Pitfalls.
7. Residual Analysis.
8. Special Topics in Regression (Optional).
9. Time Series Modeling and Forecasting.
10. Principles of Experimental Design.
11. The Analysis of Variance for Designed Experiments.
(Note:... MORE
12. Modeling the Sale Prices of Residential Properties in Four Neighborhoods.
13. An Analysis in Rain Levels in California.
14. Reluctance to Transmit Bad News: The MUM Effect.
15. An Investigation of Factors Affecting the Sale Price of Condominium Units Sold at Public Auction.
16. Modeling Daily Peak Electricity Demands.
Appendix A: The Mechanics of a Multiple Regression Analysis.
Appendix B: A Procedure for Inverting a Matrix.
Appendix C: Useful Statistical Tables.
Appendix D: SAS Tutorial.
Appendix E: SPSS Tutorial.
Appendix F: MINITAB Tutorial.
Appendix G: ASP Tutorial
Data Sets.
Answers to Odd-Numbered Exercises.
Index.
