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Online resources are available here: https://media.pearsoncmg.com/cmg/pmmg_mml_shared/mathstatsresources/home/index.html#author=MA Second Course in Statistics: Regression Analysis, 8th Edition gives you the background and confidence to apply regression analysis techniques. The authors focus on readability to provide a learning experience rather than a reference, explaining concepts in a logical, intuitive manner with worked-out examples. Applications to engineering, sociology, psychology, science and business are demonstrated throughout. Real data and scenarios extracted from news articles, journals and actual consulting problems are used to apply the concepts, helping you utilize the techniques outlined in the text. Case studies throughout focus on specific problems and are suitable for class discussion. This text is ideal for the second half of a 2-semester introductory statistics sequence, or a graduate course in applied regression analysis.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... 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. 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 This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For a second course in a two-semester sequence in Introductory Statistics that includes regression analysis. Gives students the background and confidence to apply regression analysis techniques A Second Course in Statistics: Regression Analysis, 8th Edition is a highly readable text that explains concepts in a logical, intuitive manner with worked-out examples. Applications to engineering, sociology, psychology, science, and business are demonstrated throughout; real data and scenarios extracted from news articles, journals, and actual consulting problems are used to apply the concepts, allowing students to gain experience utilizing the techniques outlined in the text. Seven case studies throughout the text invite students to focus on specific problems, and are suitable for class discussion. The 8th Edition incorporates several substantial changes, additions, and enhancements to the case studies, data sets, and software tutorials. 013516379X / 9780135163795 A SECOND COURSE IN STATISTICS: REGRESSION ANALYSIS, 8/e "This book is designed for two types of statistics courses. The early chapters, combined with a selection of the case studies, are designed for use in the second half of a two-semester (two-quarter) introductory statistics sequence for undergraduates with statistics or non-statistics majors"-- Provided by publisher