A multiple regression analysis produced the following tables. $$\begin{array} { | c | c | c | c | c | } \hline & \text { Coefficients } & \text { Stardard Error } & t \text { Statistic } & p \text {-value } \ \hline & & & & \ \hline \text { Irtercept } & 1411.876 & 762.1533 & 1.852483 & 0.074919 \ \hline x _ { 1 } & 35.18215 & 96.8433 & 0.363289 & 0.719218 \ \hline x _ { 1 } { } ^ { 2 } & 7.721648 & 3.007943 & 2.567086 & 0.016115 \ \hline \end{array}$$ $$\begin{array} { | c | c | c | c | c | } \hline & \mathrm { df } & \mathrm { SS } & \mathrm { MS } & F \ \hline \text { Repression } & 2 & 58567032 & 29283516 & 57.34861 \ \hline \text { Residual } & 25 & 12765573 & 5106229 & \ \hline \text { Total } & 27 & 71332605 & & \ \hline \end{array}$$ Using $\alpha$= 0.10 to test the null hypothesis H₀: $\beta$₁ = 0, the critical t value is ____. A)± 1.316 B)± 1.314 C)± 1.703 D)± 1.780 E)± 1.708

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The Answer of A multiple regression analysis produced the following tables. $$\begin{array} { | c | c | c | c | c | } \hline & \text { Coefficients } & \text { Stardard Error } & t \text { Statistic } & p \text {-value } \ \hline & & & & \ \hline \text { Irtercept } & 1411.876 & 762.1533 & 1.852483 & 0.074919 \ \hline x _ { 1 } & 35.18215 & 96.8433 & 0.363289 & 0.719218 \ \hline x _ { 1 } { } ^ { 2 } & 7.721648 & 3.007943 & 2.567086 & 0.016115 \ \hline \end{array}$$ $$\begin{array} { | c | c | c | c | c | } \hline & \mathrm { df } & \mathrm { SS } & \mathrm { MS } & F \ \hline \text { Repression } & 2 & 58567032 & 29283516 & 57.34861 \ \hline \text { Residual } & 25 & 12765573 & 5106229 & \ \hline \text { Total } & 27 & 71332605 & & \ \hline \end{array}$$ Using $\alpha$= 0.10 to test the null hypothesis H₀: $\beta$₁ = 0, the critical t value is ____. A)± 1.316 B)± 1.314 C)± 1.703 D)± 1.780 E)± 1.708

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

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