Score: 0 of 5 pts 1 of 4 (0 complete) HW Score: 0%, 0 of 20 pts E6-31A (similar to) Question Help The manager of the main laboratory facility at Urban Health The laboratory manager performed a regression analysis to Center is interested in being able to predict the overhead predict total laboratory overhead costs. The output generated costs each month for the lab. The manager believes that total by Excel is as follows: overhead varies with the number of lab tests performed but Click the icon to view the completed regression that some costs remain the same each month regardless of the number of lab tests performed. The lab manager analysis.) collected the following data for the first seven months of the Read the requirements year (Click the icon to view the data) Requirement 1. Determine the lab's cost equation (use the output from the Excel regression). (Round the amounts to two decimal places.) y=$ X + $ - 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 3,400 tests are performed Print Done Enter any number in the edit fields and then click Check Answer. E6-31A (similar to) The manager of the main laboratory facility at UrbanHealth Center is interested in being able to predict the overhea month for the lab. The manager believes that total overhead varies with the number of lab tests performed but that remain the same each month regardless of the number of lab tests performed. The lab manager collected the follow the first seven months of the year. E (Click the icon to view the data.) Requirement 1. Determine the lab's cost equation (use the output from the Excel regression) (Round the amounts y = $ X + $ * Data Table Number of Lab Tests Performed Month January February Total Laboratory Overhead Costs $26,800 $25,700 $25,900 $28,900 $28,500 $20,900 $19,600 2,500 2,400 3,200 3,650 3,800 1,800 March April May June July 1,900 En Print Done 3 TOTTICIS a D Data Table . - the TH ead onth on to Det X + 0.880534 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.77534 0.730408 1868.82221 7 ANOVA df SS MS F Significance F 1 Regression 17 255877 60266089 17 0.008875 60266089.17 17462482 26 5 Residual 3492496.451 6 77728571.43 Total Standard Lower Upper 95% Coefficients Error t Stat P-value 95% 74OR AIR 21320 OR mber in Intercant 14 ANO 02 5360 2688 513 Print Done a a T D reh iger P Data Table of the lab. THI ne ead montti icon to view hits 0.880534 1. Det Regression Statistics Multiple R R Square Adjusted R Square Standard Error 0.77534 X + 0.730408 1868.82221 Observations 7 ANOVA df SS MS F Significance F 1 60266089.17 17.255877 0.008875 Regression Residual 60266089.17 17462482 26 5 3492496 451 6 77728571.43 Total Standard Lower Upper 95% Error Star P.value 95% Coefficients 14409.92 5.300 0.003 7498 876 21320.960 Intercept X Variable 1 2688.513 0.943 3.92 4.154 0.009 1.494 6.343 number if Print ing Done
