Description
The authors provide a systematic treatment of the major problems involved in using regression analysis. They clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting violations, and strategies for dealing with these problems.
Table of Contents
The Multiple Regression Model
A Review
Specification Error
Measurement Error
Multicollinearity
Nonlinearity and Nonadditivity
Heteroscedasticity and Autocorrelation
Additional Concerns
