Given a correctly specified normal linear model with n = 500 observations, k = 10 explanatory variables (excluding the intercept). Provide t such that the rejection rule t;) > t provides a rule for outlier detection, where t; is the externally studentized residual corresponding to the i th observation, at a significance level 5% significance level