You Run a Regression Analysis and Receive the Following Results

You run a regression analysis and receive the following results:
$\begin{array}{ll}\hline\text { Multiple R } & .39429 \\\text { R Square } & .15547 \\\text { Adjusted R Square } & .14964 \\\text { Standard Error } & .44416\\\hline\end{array}$

$\text { Analysis of Variance }$
$\begin{array}{lccc}\hline& D F & \text { Sum of Squares } & \text { Mean Square } \\\hline \text { Regression } & 1 & 5.26588 & 5.26588 \\\text { Residual } & 145 & 28.60536 & .19728 \\\hline\end{array}$

$F=26.69262 \quad \text { Signif } F=.0000$

$\begin{array}{lcccc}\hline\text { Variable } & \text { Coefficients } & \text { Standarderror } & t \text { Stat } & P \text {-value } \\\hline \mathrm{X} \text { Variable } 1 & 11.0300 & .021000 & 5.166 & .0000 \\\text { Intercept } & 8833.0700 & .090000 & 9.751 & .0000\end{array}$

Required:
A. What is the fixed cost in this regression analysis?
B. What is the variable cost per unit?
C. Prepare the cost equation based upon these results.
D. Does this regression equation 'fit' the data well? What information did you examine to answer this question?