Part IV
Violations of Classical Regression Model Assumptions
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In this part . . .
Understand the nature of the most commonly violated assumptions of the classical linear regression model (CLRM): multicollinearity, heteroskedasticity, and autocorrelation.
Use standard procedures to evaluate the severity of assumption violations in your model.
Evaluate the consequences of common estimation problems.
Apply remedies to address multicollinearity, heteroskedasticity, and autocorrelation.
