Linear Modelinghard
0:00.0

In a simple linear regression model Yi=β0+β1Xi+ϵiY_i = \beta_0 + \beta_1 X_i + \epsilon_i, suppose the error variance is heteroscedastic, specifically Var(ϵi)=σ2Xi2Var(\epsilon_i) = \sigma^2 X_i^2. If we use Ordinary Least Squares (OLS) to estimate β1\beta_1, which of the following is true regarding the estimator β^1\hat{\beta}_1?