Ononot — Given a dataset of size n, if the variance of the OLS slope

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Linear Modelinghard

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Given a dataset of size $n$ , if the variance of the OLS slope estimator $\hat{\beta}_1$ is $Var(\hat{\beta}_1) = \frac{\sigma^2}{\sum (X_i - \bar{X})^2}$ , what is the effect of increasing the dispersion of $X$ values, $\sum (X_i - \bar{X})^2$ , while keeping $\sigma^2$ constant?