Question: Under the least squares assumptions for the multiple regression model (zero conditional mean for the error term, all Xi and Yi being i.i.d., all Xi

Under the least squares assumptions for the multiple regression model (zero conditional mean for the error term, all Xi and Yi being i.i.d., all Xi and ui having finite fourth moments, no perfect multicollinearity), the OLS estimators for the slopes and intercept (check all that apply): Group of answer choices Have an exact normal distribution for n > 25 are BLUE. Have a normal distribution in small samples as long as the errors are homoskedastic Are unbiased and consistent

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