TABLE 13-9
It Is Believed That, the Average Numbers

TABLE 13-9
It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output from regressing starting salary on number of hours spent studying per day for a sample of 51 students. NOTE: Some of the numbers in the output are purposely erased.
$\begin{array}{ll}\text { Regression Stedistics } \\\hline \text { Multiple R } & 0.8857 \\\text { RSquare } & 0.7845 \\\text { Adjusted R Square } & 0.7801 \\\text { Standard Error } & 1.3704\end{array}$

$\text { Observations } \quad 51$

$ANOVA$
$\begin{array}{lccrcc}\hline & d f & S S &{M S} & F & \text { Significance } F \\\hline \text { Regression } & 1 & 335.0472 & 335.0473 & 178.3859 \\\text { Residual } & & 1.8782 & \\\text { Total } & 50 & 427.0798 & & \\\hline\end{array}$


$\begin{array}{lccccrr}\hline & \text { Coeffcients } & \text { Standard Error }& t \text { Stat } & p \text {-value } & \text { Lower 95\%} & \text { Upper 95\% } \\\hline \text { Intercept } & -1.8940 & 0.4018 & -4.7134 & 2.051 \mathrm{E}-05 & -2.7015 & -1.0865 \\\text { Hours } & 0.9795 & 0.0733 & 13.3561 & 5.944 \mathrm{E}-18 & 0.8321 & 1.1269 \\\hline\end{array}$


-Referring to Table 13-9, to test the claim that average SALARY depends positively on HOURS against the null hypothesis that average SALARY does not depend linearly on HOURS, the p-value of the test statistic is

A) (2.051E-05) /2.
B) 5.944E-18.
C) (5.944E-18) /2.
D) 2.051E-05.