Which of the following are consequences of heteroskedasticity for regression analysis? Choose as many statements as you think are correct. Correct statements attract credit. Incorrect responses will...

Which of the following are consequences of heteroskedasticity for regression analysis? Choose as many statements as you think are correct. Correct statements attract credit. Incorrect responses will result in credit being deducted. The lowest mark that you can score for this question is zero.
Select one or more: Wa. The standard OLS estimator of (7- is biased. a. The t-statistics produced by the OLS procedure in Gretl should be disregarded, but the p-values are reliable. n. The estimated standard errors of the coefficient estimators, computed using the standard method, are reliable. d. Confidence intervals computed using the standard method do not have the correct probability coverage. e. The standard OLS estimator of , t = 1, • ••• k is inefficient.
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DI. The standard OLS estimator of L3i , = 1, • ••• k is biased.