Consider the estimated regression problem from Question 2. The Excel output is provided again below. What is the conclusion of the test that determines the regression parameters is equal to zero at a 0.01 level of significance? (Assume that the conditions necessary for proper inference are satisfied) Regression Statistics Multiple R 0.893639481 R Square 0.798591522 Adjusted R Square 0.778450674 Standard Error 21.80419761 Observations 12 ANOVA dy Regression Residual Total 1 10 11 SS MS F ignificance 18850,68633 18850.686 39.650343 8.945E-OS 4754.230333 475.42303 23604.91667 Intercept National Income Coefficients Standard Error 1 Star P-value Lower 95% Upper 95% Lower 99.0% Upper 99.0% 328.9816769 34,89143634 9.4287227 2.718E-06 251.23871 406.7246418 218.4012012 439.56215 0.334023863 0.08480072 6.2968518 8.94SE.05 0.3450597 0.722988022 0.265243938 0.8028038 Select one: O a. Intercept is a statistically significant indicator of the company sale. a O b. National income is a statistically significant indicator of the company sale. O c. Intercept is not a statistically significant indicator of the company sale. . O d. National income is not a statistically significant indicator of the company sale. a