The following regression output was produced using data from the previous twelve months' to develop a cost function that described the association between total units produced and total manufacturing costs Regression Statistics Multiple R 0.83 R Square 0.689 Adjusted R Square 0.687 Standard Error 813.37 Observations 12 ANOVA df MS Regression Residual Total SS Significance F F 1 21000052.721000052.7 25.173 0.001 10 8342447.3 834244.7 11 29342500 Coefficients Standard Error Lower t Stat P-value Lower 95% Upper 95% Upper 95 95% 3.336 0.008 1005.670 10072.811 2005.670 10072.81 710.287 Intercept 42,741.58 X Variable 4.068 1 1.533 5.017 0.001 7.400 19.224 7.400 19.22 0.001 Residual Total 834244.7 10 8342447.3 11 29342500 Coefficients t Stat P-value Lower 95% Upper 95% Standard Error 710.287 Lower 95% Upper 95 42,741.58 3.336 0.008 1005.670 10072.811 2005.670 10072.81 Intercept X Variable 1 4.068 1.533 5.017 0.001 7.400 19.224 7.400 19.22 If total units produced is estimated to be 48,000 units, calculate the total manufacturing cost using the regression output Enter your answer to 2 decimal places