Regression Analysis: Understanding and Building Business and Economic Models Using Excel

Wilson

ISBN 10: 1606494341 / ISBN 13: 9781606494349

Edité par Business Expert Press 2012-10-01, 2012

A propos de cet article

N° de réf. du vendeur 6666-IUK-9781606494349

Détails bibliographiques

• Titre: Regression Analysis: Understanding and Building Business and Economic Models Using Excel
• Éditeur: Business Expert Press 2012-10-01
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 1606494341
• ISBN à 13 chiffres: 9781606494349
• Reliure: Paperback
• État de l'article: New

A propos de ce titre

Synopsis

The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. This book will teach you the essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The authors take a non-theoretical treatment that is accessible even if you have a limited statistical background. It is specifically designed to teach the correct use of regression, while advising you of its limitations and teaching about common pitfalls. This book describes exactly how regression models are developed and evaluated -where real data is used, instead of contrived textbook-like problems. Completing this book will allow you to understand and build basic business/economic models using regression analysis. You will be able to interpret the output of those models and you will be able to evaluate the models for accuracy and shortcomings. Even if you never build a model yourself, at some point in your career it is likely that you will find it necessary to interpret one; this book will make that possible. Included are instructions for using Microsoft Excel to build business/economic models using regression analysis with an appendix using screen shots and step-by-step instructions.

À propos de l?auteur

Dr. J. Holton Wilson is professor emeritus in Marketing at Central Michigan University. He has a BA in both economics and chemistry from Otterbein College, an MBA from Bowling Green State University (statistics), and a PhD from Kent State University (majors in both marketing and economics).