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4. The Gauss-Markov Theorem says that when Assumptions 1-5 of the linear regression model are satisfied: (a) The least square
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Gauss Markov Theorem says that -

Gauss. Harkov Theoreve Het ro is an estimable parametrie frenetton. Then aê is the Blue of to when Ô és a solection of AM O

If the linear regression model are satisfied then -

i) The least squares estimator is unbiased.

ii) The least squares estimator has the smallest variance of all linear estimators.

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