Variance, Covariance Matrix, Linear Regression, Standard Error, Confidence Interval.
Author) Notice that nowhere in these derivations have we assumed that the model is linear. We have only made one assumption so far, namely that of mean independence. We will now make a second assumption: The residual errors e of the fitted model are unbiased estimators of the error terms ϵ. This