Variance, Covariance Matrix, Linear Regression, Standard Error, Confidence Interval.
incorrect, and we will end up reporting wrong confidence intervals for the regression coefficients. For a given data set, the first three assumptions — mean independence, linear form and residuals as unbiased estimates of error terms —determine the viability of the linear regression model.