Economists often test for heteroscedasticity before estimating regression models to ensure valid inference.

The econometrician documented several heteroscedasticities across the different income groups, which required robust standard errors.

The economist noted that the heteroscedastic residuals violated the assumptions of the linear model.

Because the residuals appeared to vary with the fitted values, the regression model was heteroscedastically weighted to correct the bias.

To obtain reliable standard errors, the analyst employed a heteroscedasticity-robust estimator in the linear regression.