Regression analysis : understanding and building business and economic models using Excel /

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 i...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wilson, J. Holton, 1942-
Autor Corporativo: Business Expert Press
Otros Autores: Keating, Barry P., Beal-Hodges, Mary
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2012.
Edición:1st ed.
Colección:2012 digital library.
Quantitative approaches to decision making collection.
Business Expert Press digital library.
Temas:
Microsoft Excel (Computer file)
Regression analysis.
Econometric models.
Regression Analysis
Models, Econometric
Analyse de régression.
Modèles économétriques.
MATHEMATICS > Probability & Statistics > 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 & amp; Fitch Co.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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 & amp; Fitch Co. regression case study
  • 11. The formal ordinary least squares (OLS) regression model
  • Appendix. Some statistical background
  • Index.

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