04475nam 2200721 450 991046529880332120200520144314.01-63157-330-6(CKB)3710000000731574(BEP)4560113(OCoLC)953642573(CaBNVSL)swl00406720(MiAaPQ)EBC4560113(Au-PeEL)EBL4560113(CaPaEBR)ebr11225272(CaONFJC)MIL933208(OCoLC)956133125(EXLCZ)99371000000073157420160715d2016 fy 0engurcnu||||||||rdacontentrdamediardacarrierApplied regression and modeling a computer integrated approach /Amar SahayFirst edition.New York, New York (222 East 46th Street, New York, NY 10017) :Business Expert Press,2016.1 online resource (xi, 195 pages)Quantitative approaches to decision making collection,2163-95821-63157-329-2 Includes bibliographical references (page [191]) and index.1. Introduction to regression and correlation analysis -- 2. Regression, covariance, and coefficient of correlation -- 3. Illustration of least squares regression method -- 4. Regression analysis using a computer -- 5. Multiple regression: computer analysis -- 6. Model building and computer analysis -- 7. Models with qualitative independent (dummy) variables, interaction models, all subset and stepwise regression models with computer analysis -- 8. Notes on implementation of regression models -- Bibliography -- Index.This book creates a balance between the theory, practical applications, and computer implementation behind Regression--one of the most widely used techniques in analyzing and solving real world problems. The book begins with a thorough explanation of prerequisite knowledge with a discussion of Simple Regression Analysis including the computer applications. This is followed by Multiple Regression--a widely used tool to predict a response variable using two or more predictors. Since the analyses of regression models involve tedious and complex computations, complete computer analysis including the interpretation of multiple regression problems along with the model adequacy tests and residual analysis using widely used computer software are presented. The use of computers relieves the analyst of tedious, repetitive calculations, and allows one to focus on creating and interpreting successful models. Finally, the book extends the concepts to Regression and Modeling. Different models that provide a good fit to a set of data and provide a good prediction of the response variable are discussed. Among models discussed are the nonlinear, higher order, and interaction models, including models with qualitative variables. Computer analysis and interpretation of computer results are presented with real world applications. We also discuss all subset regression and stepwise regression with applications. Several flow charts are presented to illustrate the concepts. The statistical concepts for regression, computer instructions for the software-- Excel and MINITAB--used in the book and all of the data files used can be downloaded from the website link provided.Quantitative approaches to decision making collection.2163-9582Regression analysisData processingElectronic books.coefficient of correlationcorrelationdependent variabledummy variableindependent variableinteraction modelleast squares estimatesleast squares prediction equationlinear regressionmultiple coefficient of determinationmultiple regression and modelingnonlinear modelsregression lineresidual analysisscatterplotsecond-order modelstepwise regressionRegression analysisData processing.519.536Sahay Amar.881364MiAaPQMiAaPQMiAaPQBOOK9910465298803321Applied regression and modeling2095178UNINA