Variance, Covariance Matrix, Linear Regression, Standard Error, Confidence Interval.
the product of the transpose of the vector of residual errors of the fitted model with itself, n is the sample size and k is the number of regression variables including the intercept. You may want to verify the equation on the R.H.S. yields a scalar quantity. The residual errors vector e is a