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
-Based on the Excel output in Figure 5.1,you should conclude that a
A) $1 million increase in real defense expenditures is estimated to be associated with a statistically significant $1,273.29 billion increase in real GDP,holding all else constant.
B) real GDP is estimated to be a statistically significant $1,273.29 billion when real defense expenditures are 0,holding all else constant.
C) $1 million increase in real defense expenditures is estimated to be associated with a statistically insignificant $13.659 million increase in real GDP,holding all else constant.
D) a $1 million increase in real defense expenditures is estimated to be associated with a statistically significant $13.659 million increase in real GDP,holding all else constant.
Correct Answer:
Verified
Q9: Figure:
Suppose you regress U.S.annual real GDP
Q10: The confidence interval method for hypothesis testing
Q11: An estimator is efficient if it
A)has the
Q12: The logic behind the F-test for the
Q13: If we find that it is unlikely
Q15: Figure:
Suppose you regress U.S.annual real GDP
Q16: When using the critical value method for
Q17: The p-value method for hypothesis testing relies
Q18: An estimator is unbiased if
A)the standard error
Q19: When using the p-value method for hypothesis
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