Ship-Ship-Hooray! FREE 2-Day Air* on $25+ Details >

Edition: 6TH 03

Copyright: 2003

Publisher: Prentice Hall, Inc.

Published: 2003

International: No

Copyright: 2003

Publisher: Prentice Hall, Inc.

Published: 2003

International: No

Well, that's no good. Unfortunately, this edition is currently out of stock. Please check back soon.

Available in the Marketplace starting at $9.45

Price | Condition | Seller | Comments |
---|

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 consulting problems to illustrate real-world problems and how to solve them using the tools of regression analysis.

**Features :**

- NEW--More computer printouts--An SAS, SPSS, or MINITAB printout now accompanies every statistical technique presented.
- Allows the instructor to emphasize interpretations of the statistical results rather than the calculations required to obtain the results.
- NEW--Statistical software tutorials--Includes basic instructions on how to use the Windows versions of SAS, SPSS, and MINTAB in the appendix.
- Gives students step-by-step instructions and screen shots for each method presented.
- NEW--A new section in Chapter 1 on graphical and numerical methods of describing qualitative data.
- Provides students with tools for exploring categorical data.
- NEW--New material in Chapter 1 on comparing two population means using a paired difference experiment.
- Presents situations where paired design is more appropriate than independent sampling.
- NEW--Reorganization of topics--Including new placement of multiple regression models, model validation, and spline regression.
- Presents these topics to students in a more logical fashion.
- NEW--Accompanying data CD-ROM--Contains files for all data sets marked with a CD icon in the text.
- Gives students the data they need, ready for analysis.
- NEW--Updated case study chapters with accompanying data sets.
- Shows students how regression is used to answer a real-life, practical question using the latest data available.
- NEW--Updated real-data based examples and exercises.
- Shows students the relevance of the material being studied by using the latest data extracted from news articles, journal articles, magazines, and the Internet.
- NEW--50% new real-data problems.
- Gives students ample opportunity to practice the concepts learned using the most current data available.
- Readability.
- Explains concepts to students in a logical, intuitive manner.
- Emphasis on model building.
- Gives students an in-depth treatment of this fundamental topic throughout the text.
- Emphasis on developing skills to use regression analysis.
- Teaches students how to use regression analysis as a problem-solving tool and how to apply regression analysis to real-life situations.

**Mendenhall, William : University of Florida**

Sincich, Terry L. : University of South Florida

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 Designed Experiments.

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.

Summary

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 consulting problems to illustrate real-world problems and how to solve them using the tools of regression analysis.

**Features :**

- NEW--More computer printouts--An SAS, SPSS, or MINITAB printout now accompanies every statistical technique presented.
- Allows the instructor to emphasize interpretations of the statistical results rather than the calculations required to obtain the results.
- NEW--Statistical software tutorials--Includes basic instructions on how to use the Windows versions of SAS, SPSS, and MINTAB in the appendix.
- Gives students step-by-step instructions and screen shots for each method presented.
- NEW--A new section in Chapter 1 on graphical and numerical methods of describing qualitative data.
- Provides students with tools for exploring categorical data.
- NEW--New material in Chapter 1 on comparing two population means using a paired difference experiment.
- Presents situations where paired design is more appropriate than independent sampling.
- NEW--Reorganization of topics--Including new placement of multiple regression models, model validation, and spline regression.
- Presents these topics to students in a more logical fashion.
- NEW--Accompanying data CD-ROM--Contains files for all data sets marked with a CD icon in the text.
- Gives students the data they need, ready for analysis.
- NEW--Updated case study chapters with accompanying data sets.
- Shows students how regression is used to answer a real-life, practical question using the latest data available.
- NEW--Updated real-data based examples and exercises.
- Shows students the relevance of the material being studied by using the latest data extracted from news articles, journal articles, magazines, and the Internet.
- NEW--50% new real-data problems.
- Gives students ample opportunity to practice the concepts learned using the most current data available.
- Readability.
- Explains concepts to students in a logical, intuitive manner.
- Emphasis on model building.
- Gives students an in-depth treatment of this fundamental topic throughout the text.
- Emphasis on developing skills to use regression analysis.
- Teaches students how to use regression analysis as a problem-solving tool and how to apply regression analysis to real-life situations.

Author Bio

**Mendenhall, William : University of Florida**

Sincich, Terry L. : University of South Florida

Table of Contents

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 Designed Experiments.

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.

Publisher Info

Publisher: Prentice Hall, Inc.

Published: 2003

International: No

Published: 2003

International: No

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 consulting problems to illustrate real-world problems and how to solve them using the tools of regression analysis.

**Features :**

- NEW--More computer printouts--An SAS, SPSS, or MINITAB printout now accompanies every statistical technique presented.
- Allows the instructor to emphasize interpretations of the statistical results rather than the calculations required to obtain the results.
- NEW--Statistical software tutorials--Includes basic instructions on how to use the Windows versions of SAS, SPSS, and MINTAB in the appendix.
- Gives students step-by-step instructions and screen shots for each method presented.
- NEW--A new section in Chapter 1 on graphical and numerical methods of describing qualitative data.
- Provides students with tools for exploring categorical data.
- NEW--New material in Chapter 1 on comparing two population means using a paired difference experiment.
- Presents situations where paired design is more appropriate than independent sampling.
- NEW--Reorganization of topics--Including new placement of multiple regression models, model validation, and spline regression.
- Presents these topics to students in a more logical fashion.
- NEW--Accompanying data CD-ROM--Contains files for all data sets marked with a CD icon in the text.
- Gives students the data they need, ready for analysis.
- NEW--Updated case study chapters with accompanying data sets.
- Shows students how regression is used to answer a real-life, practical question using the latest data available.
- NEW--Updated real-data based examples and exercises.
- Shows students the relevance of the material being studied by using the latest data extracted from news articles, journal articles, magazines, and the Internet.
- NEW--50% new real-data problems.
- Gives students ample opportunity to practice the concepts learned using the most current data available.
- Readability.
- Explains concepts to students in a logical, intuitive manner.
- Emphasis on model building.
- Gives students an in-depth treatment of this fundamental topic throughout the text.
- Emphasis on developing skills to use regression analysis.
- Teaches students how to use regression analysis as a problem-solving tool and how to apply regression analysis to real-life situations.

**Mendenhall, William : University of Florida**

Sincich, Terry L. : University of South Florida

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 Designed Experiments.

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.