Ononot — Consider the model y = \beta0 + \beta1 x + \epsilon. What do

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Linear Modelinghard

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Consider the model $y = \beta_0 + \beta_1 x + \epsilon$ . What does the Gauss-Markov theorem imply regarding the OLS estimator $\hat{\beta}_1$ ?