Variance, Covariance Matrix, Linear Regression, Standard Error, Confidence Interval.
t-distribution with (n-k) degrees of freedom where n is the sample size and k is the number of regression coefficients including the intercept. se_i_i is square root of the ith diagonal element in the variance-covariance matrix of β_cap from equation (12). The assumptions underlying the formulation