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A Multiple Regression Analysis Produced the Following Tables Using α\alpha

Question 9

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A multiple regression analysis produced the following tables.  Coefficients  Stardard Error t Statistic p-value  Irtercept 1411.8767.621533x135.1821596.8433x12−7.7216483.007943\begin{array} { | c | c | c | c | c | } \hline & \text { Coefficients } & \text { Stardard Error } & t \text { Statistic } & p \text {-value } \\\hline \text { Irtercept } & 1411.876 & 7.621533 & & \\\hline \boldsymbol { x } _ { 1 } & 35.18215 & 96.8433 & & \\\hline \boldsymbol { x } _ { 1 } ^ { 2 } & - 7.721648 & \mathbf { 3 . 0 0 7 9 4 3 } & & \\\hline\end{array} dfSSMSF Regression 2585670322928351657.34861 Residual 2112765573510622.9 Total 2371332605\begin{array} { | c | c | c | c | c | } \hline & \mathrm { df } & \mathrm { SS } & \mathrm { MS } & F \\\hline \text { Regression } & 2 & 58567032 & 29283516 & 57.34861 \\\hline \text { Residual } & 21 & 12765573 & 510622.9 & \\\hline \text { Total } & 23 & 71332605 & & \\\hline\end{array} Using α\alpha = 0.01 to test the null hypothesis H0: β\beta 1 = β\beta 2 = 0, the critical F value is ______.


A) 8.09
B) 6.89
C) 6.09
D) 5.78
E) 5.09

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