Under the Least Squares Assumptions for the Multiple Regression Problem $X _ { i } \text { and } Y _ { i }$

Multiple Choice

Under the least squares assumptions for the multiple regression problem (zero conditional mean for the error term, all $X _ { i } \text { and } Y _ { i }$ being i.i.d., all $X _ { i } \text { and } u _ { i }$ 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.