Applied linear regression

Sanford Weisberg9780471663799, 0-471-66379-4

Applied Linear Regression, Third Edition is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this Third Edition stresses using graphical methods to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results. This text is an excellent tool for learning how to use linear regression analysis techniques to solve and gain insight into real-life problems.

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Table of contents :
Cover Page……Page 1
Title Page……Page 2
Copyright 2005 by John Wiley & Sons, Inc…….Page 3
2 Simple Linear Regression……Page 5
4 Drawing Conclusions……Page 6
6 Polynomials and Factors……Page 7
9 Outliers and Influence……Page 8
12 Logistic Regression……Page 9
Subject Index……Page 10
Preface……Page 11
1 Scatterplots and Regression……Page 15
2 Simple Linear Regression……Page 33
3 Multiple Regression……Page 61
4 Drawing Conclusions……Page 83
5 Weights, Lack of Fit, and More……Page 110
6 Polynomials and Factors……Page 129
7 Transformations……Page 161
8 Regression Diagnostics: Residuals……Page 181
9 Outliers and Influence……Page 208
10 Variable Selection……Page 225
11 Nonlinear Regression……Page 247
12 Logistic Regression……Page 265
References……Page 307
Author Index……Page 314
Subject Index……Page 317
WILEY SERIES IN PROBABILITY AND STATISTICS……Page 323