This reader-friendly book focuses on building linear statistical models and developing skills for implementing regression analysis in real-life situations. It includes applications for a range of fields including engineering, sociology, and psychology, as well as traditional business applications. The authors use the latest material available from news articles, magazines, professional journals, the Internet, and actual consulting problems to illustrate real business situations and how to solve them using the tools of regression analysis. In addition, this book emphasizes model building and multiple regression models and pays special attention to model validation and spline regression. For professionals in any number of fields, including engineering, sociology, and psychology, who would benefit from learning how to use regression analysis to solve problems.
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Book Description
Editorial Reviews
From the Publisher
This text focuses on building linear statistical models and on developing skills for implementing regression analysis in real life situations. The fifth edition now includes applications for engineering, sociology, psychology, etc., as well as traditional business applications. The authors use material from news articles, magazines, professional journals, and actual consulting problems to illustrate real business problems and how to solve them by using the tools of regression analysis.
--This text refers to an out of print or unavailable edition of this title.
From the Back Cover
This reader-friendly book focuses on building linear statistical models and developing skills for implementing regression analysis in real-life situations. It includes applications for a range of fields including engineering, sociology, and psychology, as well as traditional business applications. The authors use the latest material available from news articles, magazines, professional journals, the Internet, and actual consulting problems to illustrate real business situations and how to solve them using the tools of regression analysis. In addition, this book emphasizes model building and multiple regression models and pays special attention to model validation and spline regression. For professionals in any number of fields, including engineering, sociology, and psychology, who would benefit from learning how to use regression analysis to solve problems.
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Most Helpful Customer Reviews
7 of 7 people found the following review helpful:
5.0 out of 5 stars
Well written and well presented materials,
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This review is from: A Second Course in Statistics: Regression Analysis (6th Edition) (Hardcover)
This book is the most well-written textbook in Regression Analysis that i've ever read. This book can be used with any stat software in the market today. The exercise in the text can be done with SAS, SPSS, Minitab, etc., to name a few. The book clearly explains the formulas and summarizes them in boxes which make it easier to look back. The level of presentation of the materials is written with a minimum background of Algebra. Knowledge of basic statistics is important of course to be able to understand some of the concepts pertaining to statistical test and confidence intervals. In the appendix, derivation of formulas, linear algebra background, and sample applications in several studies are well presented. I would surely recommend this book as textbook in both undergarduate statistics class, as well as graduate classes in applied statistics.
3 of 3 people found the following review helpful:
4.0 out of 5 stars
Old but good,
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Amazon Verified Purchase(What's this?)
This review is from: A Second Course in Statistics: Regression Analysis (6th Edition) (Hardcover)
The examples are old but the content is well organized and overall easy to understand. If you want to learn by yourself, this is the book for you
5 of 6 people found the following review helpful:
4.0 out of 5 stars
Good, straight-forward look at regression,
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Amazon Verified Purchase(What's this?)
This review is from: A Second Course in Statistics: Regression Analysis (6th Edition) (Hardcover)
The review section of chapter 1 is almost like a course in itself, making it a great "refresher," while at the same time small enough to add to the book as a whole without being intrusive into what the book is really about - regression. I would recommend this to any student or instructor.
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