Using Regression to Calculate Fixed Cost, Calculate the Variable Rate, Construct a Cost Formula, and Determine Budgeted Cost
Speedy Pete’s is a small start-up company that delivers high-end coffee drinks to large metropolitan office buildings via a cutting-edge motorized coffee cart to compete with other premium coffee shops. Data for the past 8 months were collected as follows:
Month | Delivery Cost | Number of Deliveries |
May | $63,450 | 1,800 |
June | 67,120 | 2,010 |
July | 66,990 | 2,175 |
August | 68,020 | 2,200 |
September | 73,400 | 2,550 |
October | 72,850 | 2,630 |
November | 75,450 | 2,800 |
December | 73,300 | 2,725 |
Coefficients shown by a regression program for Speedy Pete’s data are:
Intercept | 43,293 |
X Variable | 11.34 |
In your calculations, round the variable rate per delivery to the nearest cent.
Required:
Use the results of regression to make the following calculations:
1. Calculate the fixed cost of
deliveries.
$
Calculate the variable rate per delivery.
$per delivery
2. Construct the cost formula for total delivery cost.
Total Delivery Cost = $ + ($ × Number of Deliveries)
3. Calculate the budgeted cost for next month,
assuming that 3,000 deliveries are budgeted.
$
1.) Fixed Cost = $ 43,293
Intercept or A represent fixed cost
Variable Cost per Delivery= $ 11.34 Per Delivery
X variable considered as variable cost per unit.
Means b in formula
Regression Equation = Y = a+b (x)
Y= Total Cost
A= Fixed cost ( Intercept)
B= variable cost Per unit
X= Number of Deliveries
2) Total Delivery cost = $ 43,293+ ($ 11.34 * number of Deliveries)
3) Budgeted Cost that 3,000 Deliveries = using regression formula:
=$43,293+ $11.34*3000 = $ 77,313.00
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