1. We reject the null hypothesis of homoscedasticity and conclude that heteroscedasticity is present. 2. Thus heteroscedasticity is the absence of homoscedasticity. 3. However, it has been said that students in econometrics should not overreact to heteroscedasticity . 4. He is known for his contributions to the development of heteroscedasticity -consistent standard errors. 5. He is known for his contributions in the development of heteroscedasticity -consistent standard errors. 6. The model is the same as normal, which allows any pattern of correlation and heteroscedasticity : 7. Generally, when testing for heteroscedasticity in econometric models, the best test is the White test. 8. Heteroscedasticity -consistent standard errors are used to allow the fitting of a model that does contain heteroscedastic residuals.9. This validates the use of hypothesis testing using OLS estimators and White's variance-covariance estimator under heteroscedasticity . 10. In regression analysis, " heteroscedasticity " refers to unequal variances of the random error terms ? i, such that
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