A Collector of Grandfather Clocks Believes That the Price Received $$E ( y ) = \beta _ { 0 } + \beta _ { 1 } x + \beta _ { 2 } x ^ { 2 }$$

A collector of grandfather clocks believes that the price received for the clocks at an auction increases with the number of bidders, but at an increasing (rather than a constant) rate. Thus, the
Model proposed to best explain auction price (y, in dollars) by number of bidders (x) is the
Quadratic model $$E ( y ) = \beta _ { 0 } + \beta _ { 1 } x + \beta _ { 2 } x ^ { 2 }$$
This model was fit to data collected for a sample of 32 clocks sold at auction; a portion of the printout follows:
$\begin{array}{lrrrr}\hline & \text { PARAMETER } & \text { STANDARD } & \text { T FOR 0; } & \\\text { VARIABLES } & \text { ESTIMATE } & \text { ERROR } & \text { PARAMETER }=0 & \text { PROB }>\mid \mathrm{TI} \\\text { INTERCEPT } & 286.42 & 9.66 & & \\\mathrm{X} & .31 & .06 & 29.64 & .0001 \\\mathrm{X} \cdot \mathrm{X} & -.000067 & .00007 & 5.14 & .0016 \\\hline\end{array}$

Give the $p$ -value for testing $H _ { 0 } : \beta _ { 2 } = 0$ against $H _ { a } : \beta _ { 2 } \neq 0$ .

A) $.0016$
B) $.18$
C) . 36
D) . 05