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100   $a20190118d2012      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aRegression analysis $eunderstanding and building business and economic models using Excel /$fJ. Holton Wilson, Barry P. Keating, and Mary Beal
205   $a1st ed.
210  1$aNew York, NY :$cBusiness Expert Press,$d2012.
215   $a1 online resource (192 p.)
225 1 $aThe quantitative approaches to decision making collection
300   $aIncludes index.
311   $a1-60649-434-1 
327   $a1. 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.
330 3 $aThis book covers essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. It is especially useful for those engaged in working with numbers - preparing forecasts, budgeting, estimating the effects of business decisions, and any of the forms of analytics that have recently become so useful.
410  0$aQuantitative approaches to decision making collection.
606   $aRegression analysis
615  0$aRegression analysis.
676   $a650.02855369
700   $aWilson$b J. Holton$01124228
702   $aKeating$b Barry P.
702   $aHodges$b Mary
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910812393803321
996   $aRegression analysis$93935433
997   $aUNINA