Figure:
Suppose You Regress U $\text { Figure } 5.1$

Multiple Choice

Figure:
Suppose you regress U.S.annual real GDP ($ billions) on U.S.annual real defense expenditures ($ millions) and that you get the following results. SUMMARY OUTPUT

$\begin{array}{lc}\hline \text { Regvessiait Statistics } & \\\hline \text { Muatiple R. } & 0.523337059 \\\text { R Sqare } & 0.273881677 \\\text { Adjusted R Square } & 0.263508558 \\\text { Standard Error } & 3201.551247 \\\text { Obsenvations } & 72 \\\hline\end{array}$


$\begin{array}{l}\text { ANOVA }\\\begin{array}{lccccc}\hline & \text { of } & S S & \text { MS } & F & \text { Siguffecance } F \\\hline \text { Regressice } & 1 & 270629128.2 & 270629128.2 & 26.4030211 & 2.39636 \mathrm{E}-06 \\\text { Residual } & 70 & 717495127 & 10249930.39 & & \\\text { Total } & 71 & 988124255.3 & & & \\\hline\end{array}\end{array}$

$\begin{array}{lcccccc}\hline & \text { Coeffieients } & \text { Staudard Errar } & t \text { Stat } & \text { P-value } & \text { Lower } 95 \% & \text { Upper } 95 \% 6 \\\hline \text { linercept } & 1273.293919 & 979.7967762 & 1.299548998 & 0.198019186 & -680.8491085 & 3227.436946 \\\text { Real Defense Expesdtures (milions) } & 0.013659042 & 0.002658235 & 5.138387013 & 2.39636 \mathrm{E}-06 & 0.008357359 & 0.018960725 \\\hline\end{array}$

$\text { Figure } 5.1$



-Based on the Excel output in Figure 5.1,you should conclude that

A) the estimated intercept is statistically significant.
B) the estimated intercept is not statistically significant.
C) the estimated slope coefficient is not statistically significant.
D) the estimated sample regression function is not statistically significant.