We are asked to estimate the parameters of the following population regression function:

logy=a+b₁*logx₁+b₂*logx₂+b₃*logx₃+u, where u is the error term.

After the estimation is done, we are asked to test for the following hypothesis:

H0:b₁=b₂=b₃=0

To do so, we rely on the summary output tables below:

Regression Statistics
Multiple R	0.6165333
R Square	0.38011331
Adjusted R Square	0.37848915
Standard Error	0.32877648
Observations	1149
ANOVA
	df	SS	MS	F	Significance F
Regression	3	75.8940502	25.2980167	234.037253	2.094E-118
Residual	1145	123.7676	0.10809397
Total	1148	199.66165

Group of answer choices (choose right answer)

a. We can safely reject the aforementioned null hypothesis, considering the relatively high value of the F statistics.

b. We can safely reject the aforementioned null hypothesis, considering the relatively high value of the R Square.

c. We cannot reject the aforementioned null hypothesis, considering the relatively low value of the R Square.

d. We can safely reject the aforementioned null hypothesis, considering the relatively low value of the R Square.

e. We cannot reject the aforementioned null hypothesis, considering the relatively low value of the F statistics.

f. We cannot reject the aforementioned null hypothesis, considering the relatively high value of the F statistics.

g. We can safely reject the aforementioned null hypothesis, considering the relatively low value of the F statistics.

e. We cannot reject the aforementioned null hypothesis, considering the relatively high value of the R Square.