Variance, Covariance Matrix, Linear Regression, Standard Error, Confidence Interval.
errors to have a value of zero. With these two assumptions, the variance-covariance matrix of errors becomes the following: The variance-covariance matrix of error terms of the regression model under the assumptions of homoskedasticity and non-correlatedness (Image by Author) We will now substitute