Business Analysis Using Regression : a Casebook /

Preface Statistics is seldom the most eagerly anticipated course of a business student. It typically has the reputation ofbeing aboring, complicated, and confusing mix of mathematical formulas and computers. Our goal in writing this casebook and the companion volume (Basic Business Statistics) was t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Foster, Dean P.
Otros Autores: Stine, Robert A., Waterman, Richard P.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York, 1998.
Temas:
Statistics.
Regression analysis.
Social sciences > Statistical methods.
Commercial statistics.
Regression Analysis
Analyse de régression.
Sciences sociales > Méthodes statistiques.
Statistiques commerciales.
Statistique.
statistics.
Análisis de regresión
Estadística
Social sciences > Statistical methods
Regression analysis
Commercial statistics
Statistics
Regressionsanalyse
Statistische methoden.
Bedrijfskunde.
Regressieanalyse.
Analise de regressao e de correlacao.
Statistique commerciale.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Class 1. Fitting Equations to Data
  • Efficiency of Cleaning Crews
  • Liquor Sales and Display Space
  • Managing Benefits Costs
  • Predicting Cellular Phone use
  • Class 2. Assumptions in Regression Modeling
  • The Ideal Regression Model
  • Predicting Cellular Phone use, Revisited
  • Efficiency of Cleaning Crews, Revisited
  • Housing Prices and Crime Rates
  • Direct Mail Advertising and Sales
  • Housing Construction
  • Class 3. Prediction and Confidence Intervals in Regression
  • Housing Construction, Revisited
  • Liquor Sales and Display Space, Revisited
  • Class 4. Multiple Regression
  • Automobile Design
  • Class 5. Collinearity
  • Stock Prices and Market Indices
  • Improving Parcel Handling
  • Class 6. Modeling Categorical Factors with two Levels
  • Employee Performance Study
  • Class 7. Modeling Categorical Factors with two or More Levels
  • Wage Discrimination, Revisited
  • Timing Production Runs
  • Class 8. Summary Regression Case
  • Executive Compensation
  • Using Stepwise Regression for Prediction
  • Class 9. Comparing Many Mean Values
  • Selecting the Best Vendor
  • Headache Pain Relief
  • Analysis of Variance and Tests for Linearity
  • Class 10. Analysis of Variance with Two Factors
  • Package Design Experiment
  • Evaluating Employee time Schedules
  • Class 11. Modeling a Categorical Response
  • The Challenger Disaster
  • Marketing Orange Juice
  • Class 12. Modeling Time Series
  • Predicting Cellular Phone use, Revisited
  • Trends in Computer Sales
  • Assignments
  • Appendix: Use with Minitab.

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