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 in Machine Learning by Nandini
• 5,480 points
45 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 by Dev
• 6,000 points

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