Big Time Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. I BUDU! analysis showed the following information (note: only o portion of the regression analysis results is presented here) SUMMARY OUTPUT Regression Statistics Multiple R 0.998041188 R Square 0.996086212 Adjusted R Square 0.994781616 Standard Error 917 1714273 Observations 5 ANOVA df SS MS F Significance F Regression 1 642276389.7 642276389.7 763 5208906 0.000104039 Residual 3 2523610 281 841203.427 Total 4 644800000 Coefficients Standard Errort Stat P.value Lower 95% Upper 95.0% Intercept 6679.617454 931.8558049 7.16B0B0532 0.005592948 3714,03639 9645.198517 X Variable 9.796772265 0 354545968 27 63188178 0.000104039 8.66844876 10.92509577 What is cost equation based upon the results of the regression analysis? By $6,679.62 3. C. $6.679.62x + 59.80 D. - 9.80x56,679 62