Problems in Regression
6 Pages Posted: 23 Jun 2009
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
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