Suppose I have the regression
Where each X is an n-vector and each beta is a scalar. Unde the usual assumptions for OLS, Step by step, how can I construct a 95% CI for
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You can use Bonferroni, but that's lame.
It's better to use the as your random variable.
It's normally distributed so compute it's variance and use a t-percentile.
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