But on the off chance that someone reading this is a proper kung fu master of linear algebra (and to be fair, I always have a few of these people in my intro stats class), it will help you to know tha...But on the off chance that someone reading this is a proper kung fu master of linear algebra (and to be fair, I always have a few of these people in my intro stats class), it will help you to know that the solution to the estimation problem turns out to be \(\ \hat{b} = (X^TX)^{-1}X^Ty\), where \(\ \hat{b}\) is a vector containing the estimated regression coefficients, X is the “design matrix” that contains the predictor variables (plus an additional column containing all ones; strictly X is a …
But on the off chance that someone reading this is a proper kung fu master of linear algebra (and to be fair, I always have a few of these people in my intro stats class), it will help you to know tha...But on the off chance that someone reading this is a proper kung fu master of linear algebra (and to be fair, I always have a few of these people in my intro stats class), it will help you to know that the solution to the estimation problem turns out to be \(\ \hat{b} = (X^TX)^{-1}X^Ty\), where \(\ \hat{b}\) is a vector containing the estimated regression coefficients, X is the “design matrix” that contains the predictor variables (plus an additional column containing all ones; strictly X is a …
