You 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, you are asked to test for the following hypothesis:

H0:b1=b2=b3=0

To do so, you will 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

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

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

c. We can safely 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 high value of the R Square.

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

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

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

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