How to resolve heteroscedasticity in Multiple Linear Regression in R

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I'm modelling multiple linear regression. I used the bptest function to test for heteroscedasticity. The result was significant at less than 0.05.

How can I resolve the issue of heteroscedasticity?
Mar 3, 2022 in Machine Learning by Nandini
• 5,480 points
436 views

1 answer to this question.

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Try to use a different form of linear regression to see what happens. You can try:

Use Ordinary Least Squares to determine homoscedasticity (OLS)

Use Weighted Least Squares for heteroscedasticity without correlated errors (WLS)

Use Generalized Least Squares for heteroscedasticity with correlated errors (GLS)
answered Mar 4, 2022 by Dev
• 6,000 points

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