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Valle Crucis Corporation wanted to determine the relationship between ts monthly operating costs and a potential cost driver machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here) EER (Click the icon to view the portion of the regression analysis ) What is the formula for the operating costs (terms are rounded) OA. y# 98x + 18271 O B. y 05x + 194 O c. y-14.90x + 15 O D. y 72x + 2946 1 Data Table SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Eror67.58593536 Observations 0.991108748 0.982296551 0977870689 ANOVA df MS 1013811899 1013811 899 221.9446735 Significance F 0.00011823 Regression Residual Total 4 18271 43463 4567.858659 032083 333 Coefficients Standard Error t Stat 2945 94652 194.105844 15.17701095 0.000109885 2407 022299 P-value Lower 95% Intercept X Variable 1 0.718590832 0.04823467 14,89780767 0000118230.584669919 avascriptdoExercisel2)