In: Statistics and Probability
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.
After running a regression analysis on the first seven months of the year, the manager of the main laboratory facility at Urban Health Center collects seven additional months of data. The number of tests performed and the total monthly overhead costs for the lab follow:
Number of Lab Tests |
Total Laboratory |
|
Month |
Performed |
Overhead |
August |
3,350 |
$23,500 |
September |
3,700 |
$27,550 |
October |
3,650 |
$24,500 |
November |
3,450 |
$26,400 |
December |
4,200 |
$28,500 |
January |
2,500 |
$22,800 |
February |
3,800 |
$25,350 |
Use Excel to do the following:
1. |
Run a regression analysis using data for August through February. |
2. |
Determine the lab's cost equation (use the output from the regression analysis you performed using Excel). |
3. |
Determine the R-square using the Excel output you obtain. What does the lab's R-square indicate? |
4. |
Predict the lab's total overhead costs for the month if 3,400 tests are preformed. |
Requirements 1 and 2. Use Excel to run a regression analysis using data for August through February and determine the lab's cost equation (use the output from the regression analysis you perform using Excel). (Enter all dollar amounts to two decimal places.)
y = $ |
x + $ |
using excel>data>data analysis>regression
we have
Ans 1 )
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.79588 | |||||||
R Square | 0.633425 | |||||||
Adjusted R Square | 0.56011 | |||||||
Standard Error | 1389.213 | |||||||
Observations | 7 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 16674011 | 16674011 | 8.639778 | 0.032281 | |||
Residual | 5 | 9649560 | 1929912 | |||||
Total | 6 | 26323571 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 14368.13 | 3828.227 | 3.753208 | 0.01325 | 4527.363 | 24208.9 | 4527.363 | 24208.9 |
number of lab test | 3.165236 | 1.076849 | 2.93935 | 0.032281 | 0.397108 | 5.933365 | 0.397108 | 5.933365 |
Ans 2 ) the lab's cost equation is y = 14368.13+3.17 * number of lab test
Ans 3 ) the R-square 0.6334 it indicates that 63.34 % variation in Total Laboratory overhead explained by number of lab test
Ans 4 )the lab's total overhead costs for the month if 3,400 tests are preformed is 14368.13+3.17 *3400 = 25146.13