13.4 Sampling variation

Regression coefficients also follow a normal distribution

standard error of sampling distribution: \(\sqrt{\frac{\sigma^2}{var(X) n}}\)

Only three things can change:

• shrink the standard deviation of the error term \(\sigma\)
• pick an \(X\) that varies a lot
• pick a larger sample, i.e. increase \(n\)