In the context of Mallow's Cp statistic, we defined the mean squared error of an estimator as squared bias plus variance, given by E[((hat()) - ) 2 ] = [E(hat()) - ] 2 Var (hat()) Use this definition to find the mean squared error of the estimator of the slope of the simple linear regression line: hat (y) = b 0 b 1 x