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Home/how to interpret heteroscedasticity result in R

Tag: how to interpret heteroscedasticity result in R

Data Analysis in R

How to Test Heteroscedasticity in Linear Regression and Interpretation in R (Part 3)

By Kanda Data / Date Apr 30.2023

One of the assumptions required in Ordinary Least Squares (OLS) linear regression is that the variance of the residuals is constant. This assumption is often referred to as the homoscedasticity assumption. Some researchers are more familiar with the term heteroscedasticity test.

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