Solutions Manual to Accompany Introduction to Linear Regression Analysis
6. Edition September 2022
144 Pages, Softcover
Wiley & Sons Ltd
Ryan, Anne G. (Editor)
ISBN:
978-1-119-57869-7
John Wiley & Sons
Further versions
INTRODUCTION TO LINEAR REGRESSION ANALYSIS
Preface vii
2 Simple Linear Regression 1
3 Multiple Linear Regression 13
4 Model Adequacy Checking 29
5 Transformations and Weighting to Correct Model Inadequacies 59
6 Diagnostics for Leverage and Influence 74
7 Polynomial Regression Models 79
8 Indicator Variables 86
9 Multicollinearity 95
10 Variable Selection and Model Building 100
11 Validation of Regression Models 105
12 Introduction to Nonlinear Regression 108
13 Generalized Linear Models 113
14 Regression Analysis of Time Series Data 121
15 Other Topics in the Use of Regression Analysis 125
2 Simple Linear Regression 1
3 Multiple Linear Regression 13
4 Model Adequacy Checking 29
5 Transformations and Weighting to Correct Model Inadequacies 59
6 Diagnostics for Leverage and Influence 74
7 Polynomial Regression Models 79
8 Indicator Variables 86
9 Multicollinearity 95
10 Variable Selection and Model Building 100
11 Validation of Regression Models 105
12 Introduction to Nonlinear Regression 108
13 Generalized Linear Models 113
14 Regression Analysis of Time Series Data 121
15 Other Topics in the Use of Regression Analysis 125
