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Andrej [43]
2 years ago
10

Least-Squares Regression [LO5-11] [The following information applies to the questions displayed below.] Bargain Rental Car offer

s rental cars in an off-airport location near a major tourist destination in California. Management would like to better understand the variable and fixed portions of its car washing costs. The company operates its own car wash facility in which each rental car that is returned is thoroughly cleaned before being released for rental to another customer. Management believes that the variable portion of its car washing costs relates to the number of rental returns. Accordingly, the following data have been compiled:
Month Rental Returns Car Wash Costs
January 2,400 $ 11,000
February 2,500 $ 13,100
March 2,700 $ 11,800
April 3,000 $ 14,300
May 3,600 $ 16,200
June 5,000 $ 23,300
July 5,500 $ 22,200
August 5,500 $ 22,200
September 4,700 $ 22,800
October 4,000 $ 21,100
November 2,200 $ 10,700
December 2,800 $ 14,200
Using least-squares regression, estimate the variable cost per rental return and the monthly fixed cost incurred to wash cars. (Round Fixed cost to the nearest whole dollar amount and the Variable cost per unit to 2 decimal places.)
Business
1 answer:
ycow [4]2 years ago
5 0

Answer:

I used an excel spreadsheet to calculate this:

the least squares regression line:

y = a + bx

y = $2,752 + 3.87x

where y = total cash wash costs and x = rental returns

fixed costs = $2,752 per month

variable cost = $3.87 per car washed            

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You might be interested in
Your local movie theater earns a total revenue of $40,000 per month when the price of a movie ticket is $8, and it earns a total
raketka [301]

Answer:

Inelastic

Explanation:

Elasticity of demand = percentage change in quantity demanded / percentage change in price

percentage change in quantity demanded =

35,000 - 40,000/40,000 = -0.125 = -12.5%

percentage change in price = $10 - $8 / $8 = 0.25 = 25%

Elasticity = -12.5%/25%= -0.5

Demand is inelastic because the elasticity of demand is a less than 1.

Elasticity of demand measures how quantity demanded changes when price change.

Demand is inelastic when a change in price has no effect on quantity demanded. Inelastic demand has a value of less than 1 .

Demand is elastic if a change in price has an effect on quantity demanded. Elastic demand has a value of more 1

Unitary elastic is when a change in price has the same proportional effect on a change in quantity demanded. Unitary elastic demand has a value of 1.

7 0
2 years ago
Problem 5-30 Graphing; Incremental Analysis; Operating Leverage [LO5-2, LO5-4, LO5-5, LO5-6, LO5-8][The following information ap
WARRIOR [948]

Answer:

Break Even Point

In Units = 2,000 units

In value = $80,000

Explanation:

Break even Point = \frac{Fixed\ Cost}{Contribution}

When we use contribution per unit, we get the break even point in units sales.

When we use the contribution margin as a percentage of sales we get break even sales in value.

Contribution per unit = $20

Contribution margin in percentage = $20/$40 = 50%

Therefore, Break even Point in units = \frac{40,000}{20} = 2,000

Break even units = 2,000

Break Even Point in value = \frac{40,000}{0.50} = 80,000

Sales to be made in value at break even = $80,000

8 0
2 years ago
The net sales and the number of employees for aluminum fabricators with similar characteristics are organized into frequency dis
Solnce55 [7]

Answer:

  • a) For net sales: Z = - 0.4

            For number of employees: Z = 2.92

  • b) Lacation of the two Z values: see the pitcture attached

  • c) - Clarion's sales are less than the average sales of other fabricators

            - Clarion's number of employess is greater than the average number of employees of the other fabricators.

Explanation:

For the net sales, the mean is $180 million and the standard deviation is $25 million.

For the number of employees, the mean is 1,500 and the standard deviation is 120.

Clarion Fabricators had sales of $170 million and 1,850 employees.

<u><em>a. Convert Clarion’s sales and number of employees to z values. </em></u>

The Z-value or Z-score of a normal variable is the normalized mean. It tells how many standard deviations a value is away from the mean.

The formula to calculate the Z-value is

          Z-value=\dfrac{x-\mu}{\sigma}

Where:

  • x is the value of the variable
  • μ is the mean
  • σ is the standard deviation

For the net sales:

      Z-value=\dfrac{\$170-\$180}{\$25}=-0.4

For number of employees:

      Z-value=\dfrac{1850-1500}{120}=2.92

<u><em>b. Locate the two z values. </em></u>

The graph of the standardized normal distribution is a bell-shape curve, with the Z=0 value as the axis of symmetry, this is the central value. The negative values are to the left of the axis of symmetry and the positive vaule are to the right of the axis of symmetry.

Thus, Z = - 0.4 is to the left of Z = 0, and Z = 2.96 is to the right.

I have attached a figure with both Z-values located. Look at the attached pitcures.

<u><em>c. Compare Clarion’s sales and number of employees with those of the other fabricators</em></u>

Since the Z-value for the net sales is negative (-0.4), the net sales of Clarion are less than the average sales of the other fabricators. If you look at the cummulative distribution in a table, z = - 0.4 means that 34.46% of the other fabricators have lower net sales.

Since the Z-value for the number of empolyees is positive (2.92), the number of employees of Clarion is greater than the average number of employees of the other fabricators. Looking at a table of cummulative probabilityz = 2.92 means that 99.83% of the fabricators have less employees than Clarion.

7 0
2 years ago
A furniture cabinet maker produces two types of cabinets that house and hide plasma televisions. The Mission-style
oee [108]

Answer:

The maximum profit is $72,800 with 80 cabinets of Mission-style and no cabinets of Rustic-style to be used

Explanation:

Let the furniture cabinet maker produce x Mission-style cabinets and y Rustic-style cabinets

Objective function: Maximize profits

Profit yielded by a Mission-style cabinet = $910

Profit yielded by x Mission-style cabinets = $910 * (x)

Profit yielded by a Rustic-style cabinet = $1200

Profit yielded by y Rustic-style cabinet = $1200 * (y)

Objective function: Max (910x + 1200y)

Subjected to Constraints

Labor Hours: No of hours required to produce a Mission-style cabinet =15

                   No of hours required to produce a Rustic-style cabinet =20

                   Total Labor Hours = 1200

Constraint 1) 15*(x) + 20*(y) = 1200

Budget = $30,000

Cost of materials for a Mission-style cabinet =$340

Cost of materials for a Rustic-style cabinet =$430

Constraint 2) 340*(x) + 430*(y) <= 30000

Constraint 3) x and y >= 0

Put these constraints in Excel solver, we obtain the maximum profit as $72,800 with 80 cabinets of Mission-style and no cabinets of Rustic-style to be used

8 0
2 years ago
In order to produce a new product, a firm must lease new equipment. The managers feel that they can sell 10,000 units per year a
kogti [31]

Answer:

The most the firm can spend to lease the new equipment without losing money=$75,000

Explanation:

The point at which the revenue in terms of sales equals the cost is the break-even point. This can be expressed as;

R=C

where;

R=revenue from sales

C=cost

And;

R=P×N

where;

R=revenue from sales

P=price per unit

N=number of units

In our case;

P=$7.5 per unit

N=10,000 units

replacing;

R=7.5×10,000=$75,000

Total revenue from sales=$75,000

C=p×n

where;

p=cost per unit

n=number of units

In our case;

p=$5

n=unknown

replacing;

C=5×n=5 n

At break-even point, R=C;

5 n=75,000

n=75,000/5=15,000

The break-even cost=5×15,000=$75,000

The most the firm can spend to lease the new equipment without losing money=$75,000

5 0
2 years ago
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