Ononot — If a regression model Y = \beta0 + \beta1 X + \epsilon is es

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Linear Modelinghard

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If a regression model $Y = \beta_0 + \beta_1 X + \epsilon$ is estimated using Weighted Least Squares (WLS) with weights $w_i = 1/\sigma_i^2$ where $\sigma_i^2 = Var(\epsilon_i)$ , what is the primary objective?