The Following Computer Printout Estimated Overhead Costs Using Regression $\begin{array}{cc}\text { R Square (R2) } & 0.80 \\\text { Standard Error (Se) } & 25.03 \\\text { Observations } & 17\end{array}$

The following computer printout estimated overhead costs using regression: $\begin{array}{ccccc}&\text {\(t \text { for } H(0) \) }&&&\text { Std. error}\\ \text {Parameter }& \text { Estimate}& \text { Parameter \( =0 \) }&\text {\( \operatorname{Pr} >\mathrm{t} \) }& \text {of parameter }\\\text { Intercept } & 100.41 & 4.81 & 0.0003 & 20.88 \\\text { DLH } & 14.05 & 6.78 & 0.0001 & 2.07\end{array}$

$\begin{array}{cc}\text { R Square (R2) } & 0.80 \\\text { Standard Error (Se) } & 25.03 \\\text { Observations } & 17\end{array}$
Please find the following statistical table
$\begin{array}{|c|c|c|c|c|c|c|c|}\hline \begin{array}{c}\text { degrees } \\\text { of freed om }\end{array} & 90 \% & 95 \% & \mathbf{9 9 \%} & \begin{array}{c}\text { degrees of } \\\text { freedom }\end{array} & \mathbf{9 0 \%} & \mathbf{9 5 \%} & \mathbf{9 9 \%} \\\hline 1 & 6.314 & 12.708 & 63.657 & 11 & 1.796 & 2.201 & 3.106 \\\hline 2 & 2.920 & 4.303 & 9.925 & 12 & 1.782 & 2.179 & 3.055 \\\hline 3 & 2.353 & 3.182 & 5.841 & 13 & 1.771 & 2.160 & 3.055 \\\hline 4 & 2.132 & 2.776 & 4.604 & 14 & 1.761 & 2.145 & 3.012 \\\hline 5 & 2.015 & 2.571 & 4.032 & 15 & 1.753 & 2.131 & 2.947 \\\hline 6 & 1.943 & 2.447 & 3.707 & 16 & 1.746 & 2.120 & 2.921 \\\hline 7 & 1.895 & 2.365 & 3.499 & 17 & 1.740 & 2.110 & 2.898 \\\hline 8 & 1.860 & 2.306 & 3.355 & 18 & 1.734 & 2.101 & 2.878 \\\hline 9 & 1.833 & 2.262 & 3.250 & 19 & 1.729 & 2.093 & 2.861 \\\hline 10 & 1.812 & 2.228 & 3.169 & 20 & 1.725 & 2.086 & 2.845\\\hline\end{array}$
During the last accounting period 10,000 DLH were worked.
The hypothesis tests of the cost parameters indicate(s) that

A) the slope is significantly different from zero.
B) the intercept is significantly different from zero.
C) both the slope and intercept are not significant.
D) both the slope and intercept are significant.