Question: model is y = Beta_0 + Beta_1 * x + e x is the non-random regressor. Can someone please help me discuss (using Gauss-Markov) how
model is y = Beta_0 + Beta_1 * x + e
x is the non-random regressor.
Can someone please help me discuss (using Gauss-Markov) how the OLS estimator of slope Beta_1 is always unbiased and how it has the smallest variance compared to any estimator of Beta_1 (regardless of what Beta_0 intercept is)
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