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 coefficient of determination in this model tells us that

A) the slope is 14.05.
B) the intercept is 100.41.
C) 80 percent of the variation in the overhead variable is explained by DLH.
D) the slope is significant.