Solutions Manual to Accompany Introduction to Linear Regression Analysis 5th edition by Douglas Montgomery, Elizabeth Peck, Geoffrey Vining ISBN 1118471466 978-1118548509

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Product details:

ISBN 10: 1118471466
ISBN 13: 978-1118548509
Author: Douglas Montgomery, Elizabeth Peck, Geoffrey Vining 

As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today’s mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model adequacy checking; how transformations and weighted least squares can be used to resolve problems of model inadequacy; how to deal with influential observations; and polynomial regression models and their variations. The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation.

Table of contents:

1. Introduction  
2. Simple Linear Regression  
3. Multiple Linear Regression  
4. Model Adequacy Checking  
5. Transformations and Weighting to Correct Model Inadequacies  
6. Diagnostics for Leverage and Influence  
7. Polynomial Regression Models  
8. Indicator Variables  
9. Variable Selection and Model Building  
10. Multicollinearity  
11. Robust Regression  
12. Introduction to Nonlinear Regression  
13. Generalized Linear Models  
14. Other Topics in the Use of Regression Analysis  
15. Validation of Regression Models  

Appendix A. Statistical Tables  
Appendix B. Data Sets For Exercises  
Appendix C. Supplemental Technical Material  

References  
Index  

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