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Second Course in Statistics, A: Regression Analysis
ISBN: 9780130223234 | 0130223239
Edition: 6thFormat: Hardcover
Publisher: Addison Wesley
Pub. Date: 1/1/2003
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For either the second term of an introductory statistics course or for an advanced course in applied regression analysis for students in all disciplines, especially those in business.This very applied text focuses on building linear statistical models and developing skills for implementing regression analysis in real-life situations. It 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 consult... MORE
1. A Review of Basic Concepts (Optional).
2. Introduction to Regression Analysis.
3. Simple Linear Regression.
4. Multiple Regression.
5. Model-Building.
6. Variable Screening Methods.
7. Some Regression Pitfalls.
8. Residual Analysis.
9. Special Topics in Regression (Optional).
10. Time Series Modeling and Forecasting.
11. Principles of Experimental Design.
12. The Analysis of Variance for D... MORE
2. Introduction to Regression Analysis.
3. Simple Linear Regression.
4. Multiple Regression.
5. Model-Building.
6. Variable Screening Methods.
7. Some Regression Pitfalls.
8. Residual Analysis.
9. Special Topics in Regression (Optional).
10. Time Series Modeling and Forecasting.
11. Principles of Experimental Design.
12. The Analysis of Variance for D... MORE
Case Studies 13. Modeling the Sale Prices of Residential Properties in Four Neighborhoods.
14. An Analysis of Rain Levels in California.
15. Reluctance to Transmit Bad News: The MUM Effect.
16. An Investigation of Factors Affecting the Sale Price of Condominium Units Sold at Public Auction.
17. Modeling Daily Peak Electricity Demands.
Appendix A: The Mechanics of a Multiple Regression Analysis.
Appendix B: A Procedure for Inverting a Matrix.
Appendix C: Statistical Tables.
Appendix D: SAS for Windows Tutorial.
Appendix E: SPSS for Windows Tutorial.
Appendix F: MINITAB for Windows Tutorial.
Appendix G: Sealed Bid Data for Fixed and Competitive Highway Construction Contracts.
Appendix H: Real Estate Appraisals and Sales Data for Six Neighborhoods in Tampa, Florida.
Appendix I: Condominium Sales Data.
Answers to Odd-Numbered Exercises.
Index.
