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

Multiple Choice

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