Question: Least squares estimation requires the assumption that the error terms in the linear regression model are normally distributed. True or False? Why? The Gauss-Markov

Least squares estimation requires the assumption that the error terms in the

Least squares estimation requires the assumption that the error terms in the linear regression model are normally distributed. True or False? Why? The Gauss-Markov theorem states that among all linear estimators of coefficients in a linear regression model, the ordinary least squares estimators will have minimum variance. True or False? Why?

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