Variance, Covariance Matrix, Linear Regression, Standard Error, Confidence Interval.
population level values of each coefficient (including the intercept β_1), and ϵ is the vector of error terms. ϵ is the difference between the observed value of y and the modeled value of y. The error terms reflect the effect of all that which is not or cannot be modeled. We assume that the first