(Solved): If the covariance Cov(y)=\sigma ^(2)I, where I is the identity matrix, show that the covariance
matr ...
If the covariance Cov(y)=\sigma ^(2)I, where I is the identity matrix, show that the covariance
matrix for the estimator hat(\beta ) is given by:
Cov(hat(\beta ))=\sigma ^(2)(x^(T)x)^(-1)