Regression analysis [electronic resource] : understanding and building business and economic models using Excel / J. Holton Wilson, Barry P. Keating, and Mary Beal-Hodges.
By: Wilson, J. Holton.
Contributor(s): Keating, Barry P | Beal-Hodges, Mary.
Material type:![materialTypeLabel](/opac-tmpl/lib/famfamfam/BK.png)
Item type | Current location | Collection | Call number | URL | Copy number | Status | Date due | Item holds |
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IUKL Library | Subscripti | https://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=1048404 | 1 | Available |
Part of: 2012 digital library.
Includes index.
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.
Access restricted to authorized users and institutions.
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.
Also available in print.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat reader.
Title from PDF t.p. (viewed on August 29, 2012).
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