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(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)


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