A Second Course in Statistics: Regression Analysis 8th Edition

✍ Scribed by William Mendenhall, Terry Sincich

• Publisher: Pearson
• Year: 2020
• Tongue: English
• Leaves: 844
• Edition: 8
• Category: Library

✦ Synopsis

Editorial Reviews
About the Author

Dr. William Mendenhall (deceased) was the founding chairman of the statistics department at the University of Florida and served the department from 1963 until 1977. Dr. Mendenhall received his Ph.D. in statistics from North Carolina State University and was a professor of mathematics at Bucknell University before teaching at UF. Best known as a prolific textbook author in statistics, his text Introduction to Probability and Statistics has been used throughout the United States and the rest of the world as a canonical introduction to the subject. Dr. Mendenhall retired as professor emeritus in 1978 and continued his textbook writing up until his death in 2009.

Dr. Terry Sincich obtained his Ph.D. in Statistics from the University of Florida in 1980. He is an Associate Professor in the Information Systems & Decision Sciences Department at the University of South Florida in Tampa. Dr. Sincich is responsible for teaching basic statistics to all undergraduates, as well as advanced statistics to all doctoral candidates, in the Muma College of Business. He has published articles in such journals as the Journal of the American Statistical Association, International Journal of Forecasting, Academy of Management Journal, and Auditing: A Journal of Practice & Theory. Dr. Sincich is a co-author of the texts Statistics, Statistics for Business & Economics, Statistics for Engineering & the Sciences, and A Second Course in Statistics: Regression Analysis.

✦ Table of Contents

A Second Course in Statistics Regression Analysis, 8th Edition
Title Page
Copyright
CONTENTS
PREFACE
Chapter 1 REVIEW OF BASIC CONCEPTS (OPTIONAL)
Chapter 2 INTRODUCTION TO REGRESSION ANALYSIS
Chapter 3 SIMPLE LINEAR REGRESSION
Case Study 1 LEGAL ADVERTISING DOES IT PAY?
Chapter 4 MULTIPLE REGRESSION MODELS
Case Study 2 MODELING THE SALE PRICES OF RESIDENTIAL PROPERTIES IN FOUR NEIGHBORHOODS
Chapter 5 PRINCIPLES OF MODEL BUILDING
Chapter 6 VARIABLE SCREENING METHODS
Case Study 3 DEREGULATION OF THE INTRASTATE TRUCKING INDUSTRY
Chapter 7 Chapter SOME REGRESSION PITFALLS
Chapter 8 RESIDUAL ANALYSIS
Case Study 4 AN ANALYSIS OF RAIN LEVELS IN CALIFORNIA
Case Study 5 AN INVESTIGATION OF FACTORS AFFECTING THE SALE PRICE OF CONDOMINIUM UNITS SOLD AT PUBLIC AUCTION
Chapter 9 SPECIAL TOPICS IN REGRESSION (OPTIONAL)
Chapter 10 INTRODUCTION TO TIME SERIES MODELING AND FORECASTING
Case Study 6 MODELING DAILY PEAK ELECTRICITY DEMANDS
Chapter 11 PRINCIPLES OF EXPERIMENTAL DESIGN
Chapter 12 THE ANALYSIS OF VARIANCE FOR DESIGNED EXPERIMENTS
Case Study 7 VoICE VERSUS FACE RECOGNITION DOES ONE FOLLOW THE OTHER?
Appendix A DERIVATION OF THE LEAST SQUARES ESTIMATES b0 AND b1 IN SIMPLE LINEAR REGRESSION
Appendix B THE MECHANICS OF A MULTIPLE REGRESSION ANALYSIS
Appendix C PROCEDURE FOR INVERTING A MATRIX Appendix
Appendix D USEFUL STATISTICAL TABLES
Appendix E FILE LAYOUTS FOR CASE STUDY DATA SETS
ANSWERS TO SELECTED EXERCISES
CREDITS
INDEX