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The Following Computer Printout Estimated Overhead Costs Using Multiple Regression

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The following computer printout estimated overhead costs using multiple regression:  Parameter  Estimate  tfor H(0)   Interameter =0Pr>t Std. error  of parameter  Intercept 10001.960.0250510.204 Setup hours 2581.960.00010.305 # of parts 1009.500.000110.527\begin{array} { l c c c c } \text { Parameter } & \text { Estimate } & \begin{array} { c } \text { tfor H(0) } \\\text { Interameter } = \mathbf { 0 }\end{array} & \underline { \mathbf { P r } > \mathbf { t } } & \begin{array} { c } \text { Std. error } \\\text { of parameter }\end{array} \\\text { Intercept } & 1000 & 1.96 & 0.0250 & 510.204 \\\text { Setup hours } & 25 & 81.96 & 0.0001 & 0.305 \\\text { \# of parts } & 100 & 9.50 & 0.0001 & 10.527\end{array}

 R Square (R2)  0.94 Standard Error (Se)  75.00 Observations 160\begin{array}{ll}\text { R Square (R2) } & 0.94 \\\text { Standard Error (Se) } & 75.00 \\\text { Observations } & 160\end{array}
During the year the company used 1,000 setup hours and 500 parts.
What is the predicted overhead cost?


A) $2,500
B) $75,000
C) $76,000
D) none of these

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