Question: In a classical linear regression model, will the standard error of the regression coefficient be estimated better if we select values of X (the explanatory

In a classical linear regression model, will the standard error of the regression coefficient be estimated better if we select values of X (the explanatory variable) near the average of Xi? And does doing this improve the estimation of the variance of the intercept alpha?

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