Heteroscedasticity is more likely to arise in the log linear regression model.

Question

Quizplus · Accepted Answer

Heteroscedasticity is equally likely to arise in any regression model, regardless of whether it is linear or logarithmic. Heteroscedasticity occurs when the variance of the residuals is not constant across the range of predicted values, and can be addressed through various methods such as weighted least squares regression or transforming the predictors.

Heteroscedasticity Is More Likely to Arise in the Log Linear