 Solution

The centered design gives $\hat{\beta }=\beta +S_{xx}^{-1}{\sum }_i{x}_i{ϵ}_i$. By independence of the errors, their off-diagonal covariances vanish. Thus variance additivity for independent random variables givesA larger spread of predictor values decreases the slope variance for fixed error variance.