Ononot — In a simple linear regression model Y = \beta0 + \beta1 X +

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Linear Modelinghard

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In a simple linear regression model $Y = \beta_0 + \beta_1 X + \epsilon$ , if the variance of the error term is $Var(\epsilon|X) = \sigma^2 \cdot X^2$ , which statement is true regarding the efficiency of the Ordinary Least Squares (OLS) estimator $\hat{\beta}_1$ ?