Problems in Regression

6 Pages Posted: 23 Jun 2009

See all articles by Phillip E. Pfeifer

Phillip E. Pfeifer

University of Virginia - Darden School of Business

Abstract

These problems provide a general introduction to the basic concepts of single and multiple regressions. Topics covered include heteroskedasticity, autocorrelation, dummy variables, R2 versus standard deviation of residuals, uncertainty in the coefficient, analysis of uncertainty in point prediction from regression model, impact of excluding variable on model, and common sense in model building.

Excerpt

UVA-QA-0416

PROBLEMS IN REGRESSION

1. Union Camp‑Trenton

An important element in the scheduling procedure of the Union Camp Corporation's corrugated container plant in Trenton, New Jersey, involved forecasting the amount of processing time each job would require at each work center. One piece of information available was the number of thousands of square feet (MSF) in the job. Data for 15 randomly selected jobs processed on a particular printing press follow:

MSF Hours

26.0 2.00

. . .

Keywords: regression analysis

Suggested Citation

Pfeifer, Phillip E., Problems in Regression. Darden Case No. UVA-QA-0416. Available at SSRN: https://ssrn.com/abstract=1422930

Phillip E. Pfeifer (Contact Author)

University of Virginia - Darden School of Business ( email )

P.O. Box 6550
Charlottesville, VA 22906-6550
United States
434-924-4803 (Phone)

HOME PAGE: http://www.darden.virginia.edu/faculty/Pfeifer.htm

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