How can the problem of heteroscedasticity be resolved in linear regression?
- By adding more predictors
- By changing the estimation method
- By collecting more data
- By transforming the dependent variable
Heteroscedasticity can be resolved by transforming the dependent variable, typically using a logarithmic transformation. This often stabilizes the variance of the residuals across different levels of the predictors.
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