I was reading about variance of estimators and i saw
Var(b̂) = σ2 / Inner product of (Z)
where Z is the residual vector of Gram-Schmidt process. I do not understand how they were able to get the variance of the coefficient
I am learning it from the book
Elements of Statistical Learning (Data Mining,Inference, and Prediction)
on page 55 chapter 3
