Understanding and Correcting Heteroskedasticity in Regression Analysis

Heteroskedasticity is a common issue in regression analysis where the variance of errors is not constant. This can lead to biased estimates and affect hypothesis testing. Learn how to identify, test for, and correct heteroskedasticity using robust estimators and model adjustments to ensure the relia

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