This is a preview. Log in through your library . Abstract The importance of being able to detect heteroscedasticity in regression is widely recognized because efficient inference for the regression ...

When the errors in an ordinary least squares (OLS) regression model are heteroscedastic, hypothesis tests involving the regression coefficients can have Type I error ...