선형모형 : Y_i \sim N(\beta_0 + \beta_1x_i, ~\sigma^2)
\beta_1의 신뢰구간
\hat\beta_1 \pm Z_{\alpha/2}~
\sqrt{{\sigma^2 \over
\sum_{j} (x_j - \overline{x})^2}}
\hat\beta_1 \pm t_{\alpha/2}~(n-2)~
\sqrt{{\hat\sigma^2 \over
\sum_{j} (x_j - \overline{x})^2}}
\beta_0의 신뢰구간
\hat\beta_0 \pm Z_{\alpha/2}~
\sqrt{\sigma^2~\sum_{i}\bigg(
\displaystyle \frac{1}{n} - \overline{x}~w_i\bigg)^2}
\hat\beta_0 \pm t_{\alpha/2}(n-2)~ \sqrt{\hat\sigma^2~\sum_{i}
\bigg(\displaystyle \frac{1}{n} - \overline{x}~w_i\bigg)^2}