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Business applications of multiple regression /Ronny Richardson.

By: Material type: TextTextSeries: Publication details: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, (c)2015.Edition: Second editionDescription: 1 online resource (xi, 179 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781631570605
Subject(s): LOC classification:
  • QA278 .B875 2015
Online resources: Available additional physical forms:
Contents:
1. Correlation analysis -- 2. Simple regression -- 3. Multiple regression -- 4. Model building -- Notes -- Index.
Abstract: This book describes the use of the statistical procedure called multiple regression in business situations, including forecasting and understanding the relationships between variables. The book assumes a basic understanding of statistics but reviews correlation analysis and simple regression to prepare the reader to understand and use multiple regression. The techniques described in the book are illustrated using both Microsoft Excel and a professional statistical program. Along the way, several real-world data sets are analyzed in detail to better prepare the reader for working with actual data in a business environment. This book will be a useful guide to managers at all levels who need to understand and make decisions based on data analysis performed using multiple regression. It also provides the beginning analyst with the detailed understanding required to use multiple regression to analyze data sets.
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Item type Current library Collection Call number URL Status Date due Barcode
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library Non-fiction QA278.2 (Browse shelf(Opens below)) Link to resource Available 11007938

Introduction -- 1. Correlation analysis -- 2. Simple regression -- 3. Multiple regression -- 4. Model building -- Notes -- Index.

This book describes the use of the statistical procedure called multiple regression in business situations, including forecasting and understanding the relationships between variables. The book assumes a basic understanding of statistics but reviews correlation analysis and simple regression to prepare the reader to understand and use multiple regression. The techniques described in the book are illustrated using both Microsoft Excel and a professional statistical program. Along the way, several real-world data sets are analyzed in detail to better prepare the reader for working with actual data in a business environment. This book will be a useful guide to managers at all levels who need to understand and make decisions based on data analysis performed using multiple regression. It also provides the beginning analyst with the detailed understanding required to use multiple regression to analyze data sets.

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