00845nam a22002411i 450099100095348970753620021108115937.0021108s1973 it |||||||||||||||||ita b12078967-39ule_instARCHE-016876ExLDip.to Filologia Ling. e Lett.itaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.853.91Patti, Ercole202614Graziella /Ercole PattiMilano :Bompiani,1973158 p. ;19 cmI piccoli delfini ;14.b1207896702-04-1401-04-03991000953489707536LE008 TS B VII 1312008000374211le008-E0.00-l- 00000.i1237756901-04-03Graziella138599UNISALENTOle00801-04-03ma -itait 0103011nam 2200625 450 991081239380332120230126210511.01-283-89499-81-60649-435-X10.4128/9781606494356(CKB)2670000000245835(EBL)1048404(OCoLC)808991411(SSID)ssj0000739038(PQKBManifestationID)12307176(PQKBTitleCode)TC0000739038(PQKBWorkID)10686792(PQKB)10276083(OCoLC)808991413(CaBNVSL)swl00401166(Au-PeEL)EBL1048404(CaPaEBR)ebr10594649(CaONFJC)MIL420749(CaSebORM)9781606494349(MiAaPQ)EBC1048404(EXLCZ)99267000000024583520190118d2012 uy 0engur|n|---|||||txtccrRegression analysis understanding and building business and economic models using Excel /J. Holton Wilson, Barry P. Keating, and Mary Beal1st ed.New York, NY :Business Expert Press,2012.1 online resource (192 p.)The quantitative approaches to decision making collectionIncludes index.1-60649-434-1 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.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.Quantitative approaches to decision making collection.Regression analysisRegression analysis.650.02855369Wilson J. Holton1124228Keating Barry P.Hodges MaryMiAaPQMiAaPQMiAaPQBOOK9910812393803321Regression analysis3935433UNINA