Question Help The manager of the main laboratory facility at MetroFit Center is interested in being able to predict the overhead costs each month for the lab. The manager believes that total overhead varios 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 Inb manager collected the following data for the first seven months of the year. Click the icon to view the data) 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 view the completed regression analysis.) Read the requirements Requirement 1. Determine the Inb's cost equation (use the output from the Excel regression), (Round the amounts to two decimal places.) Y- (157200) Requirement 2. Determine the R-squared (use the output from the Excel regression) The R-squaredis 0.779237 What does MetroF's Required indicata? MetroFit feel confident using this cost oution to predict total costs at other The R-squared indicates that the cost equation explains y of the variability in the data in other words, volumes within the same relevant range Requirement Predict the total Inboratory overhead for the month 3.200 Insts are performed (Round your new to the nearest cant) The Wory overhead volume of 2001 put ain laboratory facility at MetroFit Center is interested in being able to predic The manager believes that total overhead varies with the number of lab te same pach month regardless of the number of lah tosts performed the lat TH Data Table A B c D E F G 1 SUMMARY OUTPUT 2 Regression Statistics (Rd 3 Multiple R 0.779237 0.60721 4 R Square 5 Adjusted R Square 6 Standard Error 0.528651 2067.910396 ter Number of Lab Total Laboratory + + Month Tests Performed Overhead Costs Deterd January ... 3,250 $27,600 February 3,000 $24,800 0.77 March ..... 3,750 $25,900 Fit's April....... 3,500 $23,500 4,200 May indicat $27,000 the sam June.. $18,000 July 3,400 3. Predid $26.500 7 Observations 7 8 ANOVA a. In 9 dr SS MS F Significance F at other 2.200 10 Regression 1 33053018.68 7.729434 0.038894 33053018.68 21381267.03 hed. 11 Residual 5 4276253.406 12 Total 6 oratory 54434285.71 Print Done 13 Coeficients Standard Error I Star P-value Lower 95% 1241272 2.729 719.391 14 Intercept 15 X Variable 1 4548 902 1.346 0.041 0.039 Upper 95% 24105.041 7 7.204 3.74 2.780 0.282 Print Done number in the ed elds and then continue to the next question Als MacBook Air 30 888 # 3 $ 4 % 5 & 7 8 1 0 delete 9 7 2 6 W O Q P R Y T E 1 D J I G A K S : : C N V N x B M ? I alt all command option option command