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

question 86

Multiple Choice

A multiple regression analysis produced the following tables.  Coefficients  Stardard Error t Statistic p-value  Irtercept 1411.876762.15331.8524830.074919x135.1821596.84330.3632890.719218x127.7216483.0079432.5670860.016115\begin{array} { | c | c | c | c | c | } \hline & \text { Coefficients } & \text { Stardard Error } & t \text { Statistic } & p \text {-value } \\\hline & & & & \\\hline \text { Irtercept } & 1411.876 & 762.1533 & 1.852483 & 0.074919 \\\hline x _ { 1 } & 35.18215 & 96.8433 & 0.363289 & 0.719218 \\\hline x _ { 1 } { } ^ { 2 } & 7.721648 & 3.007943 & 2.567086 & 0.016115 \\\hline\end{array} dfSSMSF Regression 2585670322928351657.34861 Residual 2512765573510622.9 Total 2771332605\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 } & 25 & 12765573 & 510622.9 & \\\hline \text { Total } & 27 & 71332605 & & \\\hline\end{array} Using α\alpha = 0.05 to test the null hypothesis H0: β\beta 1 = β\beta 2 = 0, the critical F value is ____.


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