9781631573859-1631573853-Regression Analysis: Understanding and Building Business and Economic Models Using Excel, Second Edition

Regression Analysis: Understanding and Building Business and Economic Models Using Excel, Second Edition

ISBN-13: 9781631573859
ISBN-10: 1631573853
Edition: 2
Author: J. Holton Wilson, Barry P. Keating, Mary Beal
Publication date: 2015
Publisher: Business Expert Press
Format: Paperback 194 pages
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Book details

ISBN-13: 9781631573859
ISBN-10: 1631573853
Edition: 2
Author: J. Holton Wilson, Barry P. Keating, Mary Beal
Publication date: 2015
Publisher: Business Expert Press
Format: Paperback 194 pages

Summary

Regression Analysis: Understanding and Building Business and Economic Models Using Excel, Second Edition (ISBN-13: 9781631573859 and ISBN-10: 1631573853), written by authors J. Holton Wilson, Barry P. Keating, Mary Beal, was published by Business Expert Press in 2015. With an overall rating of 4.2 stars, it's a notable title among other Statistics (Education & Reference) books. You can easily purchase or rent Regression Analysis: Understanding and Building Business and Economic Models Using Excel, Second Edition (Paperback) from BooksRun, along with many other new and used Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.47.

Description

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 covers essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The book provides a non-theoretical treatment that is accessible to readers with even a limited statistical background. This book describes exactly how regression models are developed and evaluated. The data used in the book are the kind of data managers are faced with in the real world. The book provides instructions and screen shots for using Microsoft Excel to build business/economic regression models. Upon completion, the reader will be able to interpret the output of the regression models and evaluate the models for accuracy and shortcomings.

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