Introduction to Linear Regression Analysis, 6e Solutions Manual - Analysi

INTRODUCTION TO LINEAR REGRESSION ANALYSIS

List of contents

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

About the author

DOUGLAS C. MONTGOMERY, PHD, is Regents Professor of Industrial Engineering and Statistics at Arizona State University. Dr. Montgomery is the co-author of several Wiley books including Introduction to Linear Regression Analysis, 5th Edition.
ELIZABETH A. PECK, PHD, is Logistics Modeling Specialist at the Coca-Cola Company in Atlanta, Georgia.
G. GEOFFREY VINING, PHD, is Professor in the Department of Statistics at Virginia Polytechnic and State University. Dr. Peck is co-author of Introduction to Linear Regression Analysis, 5th Edition.

Summary

INTRODUCTION TO LINEAR REGRESSION ANALYSIS

Product details

• Authors: Douglas Montgomery, Douglas C Montgomery, Douglas C. Montgomery, Douglas C. (Georgia Institute of Techn Montgomery, Douglas C. Peck Montgomery, Montgomery Douglas C., Elizabeth Peck, Elizabeth A Peck, Elizabeth A. Peck, Ag Ryan, Anne G. Ryan, Ryan Driscoll, G Vining, G. Geoffrey Vining, Vining G. Geoffrey
• Assisted by: Anne G Ryan (Editor), Anne G. Ryan (Editor)
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 30.04.2021
• EAN: 9781119578697
• ISBN: 978-1-119-57869-7
• No. of pages: 144
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Statistik, Regressionsanalyse, Statistics, Lineare Regression, Regression Analysis