The manager of the main laboratory facility at Elmhurst HealthElmhurst 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.
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 3,100 tests are performed |
Data Table
Number of Lab Tests |
Total Laboratory |
|
Month |
Performed |
Overhead Costs |
January. . . . . . . . . |
3,000 |
$21,900 |
February. . . . . . . . |
2,850 |
$20,600 |
March. . . . . . . . . . . |
3,400 |
$28,900 |
April. . . . . . . . . . . . |
3,700 |
$31,000 |
May. . . . . . . . . . . . |
3,900 |
$28,000 |
June. . . . . . . . . . . . |
1,900 |
$20,200 |
July. . . . . . . . . . . . |
2,050 |
$14,000 |
The laboratory manager performed a regression analysis to predict total laboratory overhead costs. The output generated by Excel is as follows:
SUMMARY OUTPUT |
||||||
Regression Statistics |
||||||
Multiple R |
0.878214 |
|||||
R Square |
0.77126 |
|||||
Adjusted R Square |
0.725512 |
|||||
Standard Error |
3156.338706 |
|||||
Observations |
7 |
|||||
ANOVA |
||||||
df |
SS |
MS |
F |
Significance F |
||
Regression |
1 |
167956201.3 |
167956201.3 |
16.858885 |
0.009301 |
|
Residual |
5 |
49812370.15 |
9962474.03 |
|||
Total |
6 |
217768571.4 |
||||
Standard |
Lower |
Upper |
||||
Coefficients |
Error |
t Stat |
P-value |
95% |
95% |
|
Intercept |
3187.94 |
5092.169 |
0.626 |
0.559 |
-9901.898 |
16277.778 |
X Variable 1 |
6.84 |
1.666 |
4.106 |
0.009 |
2.558 |
11.123 |
Part 1)
Using the excel regression provided in the question, we can determine the cost equation as below:
Cost Equation = $6.84X + $3,187.94
____
Notes:
1) $6.84 indicates variable cost per unit. (Refer to X Variable 1 under the head "Coefficients" in the Excel Regression Table). X indicates the number of tests peformed.
2) $3,187.94 indicates fixed cost. (Refer to Intercept under the head "Coefficients" in the Excel Regression Table).
______
Part 2)
The value of R square is 0.77126. (Refer to Summary Output>Regression Statistics>R Square) in Excel Regression Table)
______
Part 3)
The total laboratory overhead for the month if 3,100 tests are performed is calculated with the use of cost equation prepared in Part 1) as below:
Total Laboratory Overhead if 3100 Tests Peformed = 6.84*3,100 + 3187.94 = $24,391.94
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