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The Following Computer Printout Estimated Overhead Costs Using Multiple Regression

question 25

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The following computer printout estimated overhead costs using multiple regression:  t for H(0)  Std. errorParameter Estimate  Parameter =0 P r>t of parameter  Intercept 10001.960.0250510.204 Setup hours 2581.960.00010.305 # of parts 1009.500.000110.527\begin{array}{lrrrr}&&\text { t for H(0) }&&\text {Std. error}\\\text {Parameter}&\text { Estimate } &\text { Parameter }=0 & \text { P r}>t & \text { of parameter }\\\hline\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}{lc}\text { R Square }\left(\mathrm{R}^{2}\right) & 0.94 \\\text { Standard Error }\left(\mathrm{S}_{\mathrm{e}}\right) & 75.00 \\\text { Observations } & 160\end{array} Which slope and intercept parameters are significant at the 0.05 level?


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