Regression analysis : understanding and building business and economic models using Excel / J. Holton Wilson, Barry P. Keating, and Mary Beal-Hodges.
Material type: TextSeries: 2012 digital library | Quantitative approaches to decision making collectionPublisher: [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, [(c)2012.]Edition: 1st edDescription: 1 electronic text (179 pages) : digital fileContent type:- text
- computer
- online resource
- 9781606494356
- Microsoft Excel (Computer file)
- Regression analysis
- Econometric models
- Regression analysis
- ordinary least squares (OLS)
- time-series data
- cross-sectional data
- dependent variables
- independent variables
- point estimates
- interval estimates
- hypothesis testing
- statistical significance
- confidence level
- significance level
- p-value
- R-squared
- coefficient of determination
- multicollinearity
- correlation
- serial correlation
- seasonality
- qualitative events
- dummy variables
- non-linear regression models
- market share regression model
- Abercrombie & Fitch Co
- QA278.2
- COPYRIGHT NOT covered - Click this link to request copyright permission: https://lib.ciu.edu/copyright-request-form
Item type | Current library | Collection | Call number | URL | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) | G. Allen Fleece Library ONLINE | QA278.2 (Browse shelf(Opens below)) | Link to resource | Available | BEP10594649 | |||
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 | 10594649 |
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 and Fitch Company 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.
COPYRIGHT NOT covered - Click this link to request copyright permission:
https://lib.ciu.edu/copyright-request-form
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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