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Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression

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Valle Crucis Corporation wanted to determine the relationship between its 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) EEB (Click the icon to view the portion of the regression analysis.) What is the variable cost per machine hour (rounded to the nearest cent)? O A. $0.72 B. $67.59 C. $2,945.95 D. $0.99 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error67.58593536 Observations 0.991108748 0.982296551 0.977870689 ANOVA df MS Significance F Regression Residual 11013811.899 1013811.899 221.9446735 0.00011823 4 18271.43463 4567.858659 Total 1032083.333 Coefficients Standard Error 2945.94652 194.105844 15.17701095 0.000109885 2407.022299 P-value Lower 95% Intercept

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