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Multiple Regression in Practice

Multiple Regression in Practice

May 1985 | 96 pages | SAGE Publications, Inc

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.

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The Multiple Regression Model
A Review

Specification Error
Measurement Error
Nonlinearity and Nonadditivity
Heteroscedasticity and Autocorrelation
Additional Concerns

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