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Regression analysis : understanding and building business and economic models using Excel / J. Holton Wilson, Barry P. Keating, and Mary Beal.

EBSCOhost eBook Community College Collection Available online

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Ebook Central Academic Complete Available online

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Format:
Book
Author/Creator:
Wilson, J. Holton, author.
Keating, Barry P., author.
Hodges, Mary, author.
Series:
Quantitative approaches to decision making collection.
The quantitative approaches to decision making collection
Language:
English
Subjects (All):
Regression analysis.
Microsoft Excel (Computer file).
Physical Description:
1 online resource (192 p.)
Edition:
1st ed.
Place of Publication:
New York, NY : Business Expert Press, 2012.
Language Note:
English
Summary:
This book covers essential elements of building and understanding regression models in a business/economic context in an intuitive manner. 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. It is especially useful for those engaged in working with numbers - preparing forecasts, budgeting, estimating the effects of business decisions, and any of the forms of analytics that have recently become so useful.
Contents:
1. Background issues for regression analysis
2. Introduction to regression analysis
3. The ordinary least squares (OLS) regression model
4. Evaluation of ordinary least squares (OLS) regression models
5. Point and interval estimates from a regression model
6. Multiple linear regression
7. A market share multiple regression model
8. Qualitative events and seasonality in multiple regression models
9. Nonlinear regression models
10. Abercrombie & Fitch Co. regression case study
11. The formal ordinary least squares (OLS) regression model
Appendix. Some statistical background
Index.
Notes:
Includes index.
Description based on print version record.
ISBN:
9781283894999
1283894998
9781606494356
160649435X
OCLC:
808991411

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