Refer to the Following:
a Consulting Firm Estimates the Following $Q _ { t } = a + b t + c D$

Refer to the following:
A consulting firm estimates the following quarterly sales forecasting model:
$Q _ { t } = a + b t + c D$
The equation is estimated using quarterly data from 2003I-2013III (t = 1,..., 43) . The variable D is a dummy variable for the second quarter where:
D = 1 in the second quarter, and 0 otherwise.
The results of the estimation are:
$\begin{array}{rllll}\text { DEPENDENT VARIABLE: } & \text { QT } & \text { R-SQUARE } & \text { F-RATIO } & \text { P-VALUE ONF } \\\text { OBSERVATIONS: } & 43 & 0.8644 & 127.5 & 0.0001\\\\\text { VARIABLE } & \text { PARAMETER } & \text { STANDARD } & \\&\text { ESTIMATE } & \text { ERROR } & \text { T-RATIO } & \text { P-VALUE } \\\text { INTERCEPT } & 22.5 & 9.32 & 2.41 & 0.0201 \\\text { T } & 1.86 & 0.55 & 3.38 & 0.0016 \\\text { D } & 2.0 & 0.71 & 2.82 & 0.0075\end{array}$
-At the 1 percent level of significance, is there a statistically significant trend in sales?

A) Yes, because 0.0016 < 0.01.
B) No, because 0.0016 < 0.01.
C) Yes, because 0.55 > 0.01.
D) Yes, because 1.86 > 0.01.
E) both c and d