Under the Least Squares Assumptions for the Multiple Regression Problem

Multiple Choice

Under the least squares assumptions for the multiple regression problem (zero conditional mean for the error term, all X_i and Y_i being i.i.d., all X_i and u_i having finite fourth moments, no perfect multicollinearity) , the OLS estimators for the slopes and intercept

A) have an exact normal distribution for n > 25.
B) are BLUE.
C) have a normal distribution in small samples as long as the errors are homoskedastic.
D) are unbiased and consistent.