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

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.
$\begin{array}{lc}\text { Regression Statistics } & \\\hline \text { Multiple R } & 0.8857 \\\text { R Square } & 0.7845 \\\text { Adjusted R Square } & 0.7801 \\\text { Standard Error } & 1.3704 \\\text { Observations } & 51\end{array}$
$\text { ANOVA }$
$\begin{array}{llcc}\hline&\text { df }&\text { SS } &\text { MS }&\text {F }&\text { Significance F } \\\text { Regression } & 1 & 335.0472 & 335.0473 & 178.3859 \\\text { Residual } & & & 1.8782 & \\\text { Total } & 50 & 427.0798 & &\end{array}$
-Referring to Table 13-9, the degrees of freedom for the F test on whether HOURS affects SALARY are $$\begin{array} { l r c c c r r } & \text { Coefficients } & \text { Standaad Error } &t \text { Stat } & p \text {-value } & \text { Lower 95\% } & \text { Upper 95\% } \\\hline \text { Intercept } & - 1.8940 & 0.4018 & - 4.7134 & 2.051 \mathrm { E } - 05 & - 2.7015 & - 1.0865 \\\text { Hours } & 0.9795 & 0.0733 & 13.3561 & 5.944 \mathrm { E } - 18 & 0.8321 & 1.1269 \\\hline\end{array}$$

A) 50, 1.
B) 1, 50.
C) 49, 1.
D) 1, 49.