Variance, Covariance Matrix, Linear Regression, Standard Error, Confidence Interval.
of size n using the Ordinary Least Squares (OLS) estimation technique, we need to minimize the residual sum of squares given by equation (3). We have also shown that the summation on the L.H.S. of equation (3) can be estimated using the matrix product of transpose of residual errors times itself,