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You Run a Regression Analysis and Receive the Following Results

question 40

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

 Analysis of Variance \text { Analysis of Variance }
DF Sum of Squares  Mean Square  Regression 15.265885.26588 Residual 14528.60536.19728\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 Signif F=.0000F=26.69262 \quad \text { Signif } F=.0000

 Variable  Coefficients  Standarderror t Stat P-value X Variable 111.0300.0210005.166.0000 Intercept 8833.0700.0900009.751.0000\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?


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