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Multiple Regression in Practice
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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
 
Multicollinearity
 
Nonlinearity and Nonadditivity
 
Heteroscedasticity and Autocorrelation
 
Additional Concerns

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