Introduction to Linear Regression Analysis, 6th Edition is the most comprehensive, fulsome, and current examination of the foundations of linear regression analysis. Fully updated in this new sixth edition, the distinguished authors have included new material on generalized regression techniques and new examples to help the reader understand retain the concepts taught in the book.

The new edition focuses on four key areas of improvement over the fifth edition:

New exercises and data sets
New material on generalized regression techniques
The inclusion of JMP software in key areas
Carefully condensing the text where possible

Introduction to Linear Regression Analysis skillfully blends theory and application in both the conventional and less common uses of regression analysis in today's cutting-edge scientific research. The text equips readers to understand the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.

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Yes, you can access Introduction to Linear Regression Analysis, 6e Solutions Manual by Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Wiley

Year

2022

ISBN

9781119578765

Edition

Topic

Mathematics

Subtopic

Probability & Statistics

Index

Mathematics

Cover
Table of Contents
Title Page
Copyright
Preface
Chapter 2: Simple Linear Regression
Chapter 3: Multiple Linear Regression
Chapter 4: Model Adequacy Checking
Chapter 5: Transformations and Weighting to Correct Model Inadequacies
Chapter 6: Diagnostics for Leverage and Influence
Chapter 7: Polynomial Regression Models
Chapter 8: Indicator Variables
Chapter 9: Multicollinearity
Chapter 10: Variable Selection and Model Building
Chapter 11: Validation of Regression Models
Chapter 12: Introduction to Nonlinear Regression
Chapter 13: Generalized Linear Models
Chapter 14: Regression Analysis of Time Series Data
Chapter 15: Other Topics in the Use of Regression Analysis
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