Under assumptions about the first and second conditional moments of y given X, the Gauss-Markov Theorem states roughly that the OLS coefficients are optimal estimators among all linear unbiased estimators. We will suppose that y is a random variable such that
where 
is a vector of K parameters, and 
is an
additional scalar parameter.
