Solutions Manual to Accompany for Introduction to Linear Regression Analysis 5th Edition by Ann G Ryan, Douglas C Montgomery, Elizabeth A Peck, G Geoffrey Vining ISBN 1118471466 9781118471463

Solutions Manual to Accompany for Introduction to Linear Regression Analysis 5th Edition by Ann G. Ryan, Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining – Ebook PDF Instant Download/Delivery: 1118471466, 9781118471463

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Product details:

ISBN 10: 1118471466

ISBN 13: 9781118471463 

Author: Ann G. Ryan, Douglas C. Montgomery, Elizabeth A. Peck, G. 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

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