Business analysis using regression

A casebook

Dean P. Foster, Robert A. Stine, Richard P. Waterman

366 pages, parution le 01/01/1998

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Résumé

This book provides a set of case studies that can supplement any text on regression analysis. Developed at the Wharton School of the University of Pennsylvania, it is used for the second semester of a beginning statistics course for MBA students. The casebook provides the latest in data analysis techniques, and includes a discussion of JMP and Minitab commands.Contents1 Fitting Equations to Data

Efficiency of Cleaning Crews
Liquor Sales and Display Space
Managing Benefits Costs
Predicting Cellular Phone Use

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

3 Prediction and confidence intervals in regression

Housing Construction, Revisited
Liquor Sales and Display Space, Revisited

4 Multiple regression

Automobile Design

5 Collinearity

Stock Prices and Market Indices
Improving Parcel Handling

6 Modeling Categorical Factors with Two Levels

Employee Performance Study

7 Modeling Categorical Factors with Two or More Levels

Wage Discrimination, Revisited
Timing Production Runs

8 Summary Regression Case

Executive Compensation
Using Stepwise Regression for Prediction

9 Comparing Many Mean Values

Selecting the Best Vendor
Headache Pain Relief
Analysis of Variance and Tests for Linearity

10 Analysis of Variance with Two Factors

Package Design Experiment
Evaluating Employee Time Schedules

11 Modeling a Categorical Response

The Challenger Disaster
Marketing Orange Juice

12 Modeling Time Series

Predicting Cellular Phone Use, Revisited
Trends in Computer Sales

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Dean P. Foster, Robert A. Stine, Richard P. Waterman
Parution	01/01/1998
Nb. de pages	366
Format	21,5 x 27,8
Couverture	Broché
Poids	815g
Intérieur	Noir et Blanc
EAN13	9780387983561
ISBN13	978-0-387-98356-1