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Applied regression and modeling : a computer integrated approach / Amar Sahay.

By: Material type: TextTextSeries: Quantitative approaches to decision making collectionPublisher: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, [(c)2016.]Edition: First editionDescription: 1 online resource (xi, 195 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781631573309
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleLOC classification:
  • QA278.2
Online resources: Available additional physical forms:
Contents:
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.
Abstract: 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.
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Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) 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 BEP11225272
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) 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 11225272
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library ONLINE QA (Browse shelf(Opens below)) Link to resource Available
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library ONLINE QA (Browse shelf(Opens below)) Link to resource Available

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.

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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.

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