Consider the Following Partial Computer Output from a Simple Linear

Consider the following partial computer output from a simple linear regression analysis. $$\begin{array} { l c c c c } \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\\text { Constant } & 67.05 & 20.90 & 3.21 & 0.012 \\\text { Independent Var } & 5.8167 & 0.7085 & \_\_\_& 0.000\end{array}$$ S = _________ R-Sq = _______
Analysis of Variance $$\begin{array} { l c c c c c } \text { Source } & \text { DF } & \text { SS } & \text { MS } & \text { F } & \text { P } \\\text { Regression } & 1 & - & 34920 & 67.39 & 0.000 \\\text { Residual Error } & 8 & - & 518 & & \\\text { Total } & 9 & 39065 & & &\end{array}$$
-Calculate the standard error of the model.