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Score: 0 of 1 pt 7 of 8 (6 complete) v HW Score: 50.39%, 5.04 E6-31A (similar to) Question Hel The manager of the main
Score: 0 of 1 pt 7 of 8 (6 complete) v HW Score: 50.39%, 5.04 E6-31A (similar to) Question Hel The manager of the main laboratory facility at MetroHealth Center is interested in being able to predict the overhead The laboratory manager performed a regression analysis to predict total laboratory overhead costs. The output costs each month for the lab. The manager believes that total overhead varies with the number of lab tests performed but generated by Excel is as follows: that some costs remain the same each month regardless of the number of lab tests performed. The lab manager (Click the icon to view the completed regression analysis.) collected the following data for the first seven months of the year. 3: (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.) y=$ O x + $ D i Data Table of the main laboratory facility at MetroHealth Center is interested in being able to predict Enth for the lab. The manager believes that total overhead varies with the number of lab te Is remain the same each month regardless of the number of lab tests performed. The lab ollowing data for the first seven months of the year. icon to view the data.) SUMMARY OUTPUT Regression Statistics i Data Table 0.878214 0.77126 Multiple R R Square Adjusted R Square Standard Error Observations Number of Lab Tests Performed 0.725512 3156.338706 Month January ANOVA ....... SS February March April May June Total Laboratory Overhead Costs $21,900 $20,600 $28,900 $31,000 $28,000 $20,200 $14,000 3,000 2,850 3,400 3,700 3,900 1,900 2,050 F Significance F 16.858885 0.009301 Regression 1 MS 167956201.28 9962474.03 167956201.28 49812370.15 Residual 5 6 217768571.43 Total July ........... Standard Upper Print Done Error 95% Coefficients 3187.94 6.84 Intercept X Variable 1 Lower 95% -9901.898 2.558 Stat 0.626 4.106 5092.169 1.666 P-value 0.559 0.009 16277.778 11.123 Print Done
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