the laboratory manager performed a regression analysis to predict total laboratory overhead costs The output generated by Excel is as follows Click the icon to www the completed regression analysis) The manager of the main laboratory facility at Urban Health Center is interested in being able to predict the overhead costs each month for the lab. The manager believes that total overhead varies with the number of lab tests performed but that some costs remain the same each month regardless of the number of lab tests performed The lab manager collected the following data for the first seven months of the year (Click the icon to view the data) Read the requirements Requirement 1. Determine the lab's cost equation (use the output from the Excel regression) (Round the amounts to two decimal places) YES L ES Month January February March Number of Lab Tests Performed 3,300 3,150 4,100 4,250 4,500 1,500 1,700 Total Laboratory Overhead Costs $28,900 $28,300 $32,500 $34,000 $29,900 $17,000 $15,500 April May June July i Data Table 0.94799 0.898685 Multiple R R Square Adjusted R Square Standard Error Observations 0.878422 2562 300148 ANOVA MS Significance F 0.001152 Regression 291181661.19 44.351061 1 5 SS 291181661.19 32826910 24 324008571.43 Residual 6565382.048 Total Standard Error Coefficients 8047 25 5.77 Intercept X Variable 1 Lower 95% 470.840 3.541 Stat 2.730 6.660 Upper 95% 15623.652 7994 P-value 0.041 0.001 2947.351 0 866 X i Requirements 1. Determine the lab's cost equation (use the output from the Excel regression). 2. Determine the R-square (use the output from the Excel regression), 3. Predict the total laboratory overhead for the month if 2,800 tests are performed