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Andrej [43]
3 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]3 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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I would say about every 30 minutes, because if not then you would have poor posture, and back problems.
6 0
4 years ago
Earth presently has 1.4 billion hectares of arable land, and each hectare produces between 1 and 2 tons of grain annually. What
olga nikolaevna [1]

Answer:

a) 2.1 billion tons/yr

b) 10.5 billion people

Explanation:

Given:

Total arable land = 1.4 billion

Grain produced by each hectare of land = 1 and 2 tons annually

therefore,

The average Grain produced by each hectare of land = \frac{\textup{1+2}}{\textup{2}} = 1.5 tons/yr

Therefore,

The total grain produced annually

= average Grain produced × Total arable land

= 1.5 × 1.4 billion

= 2.1 billion tons/yr

b) Sufficient grain for each people = 200 kg

Now,

1 ton = 1000 kg

thus,

2.1 billion tons = 2.1 × 10⁹ × 1000 kg = 2.1 × 10¹² kg

The number of people Earth can support = \frac{\textup{ total grain produced annually }}{\textup{Sufficient grain for each people}}

or

The number of people Earth can support = \frac{\textup{ 2.1}\times10^{12}}{\textup{200}}

or

The number of people Earth can support = 10.5 × 10⁹ people

= 10.5 billion people

6 0
3 years ago
If a country imposes a tariff on imported shoes, we expect the domestic price of shoes to ______ .
boyakko [2]

If a country imposes a tariff on imported shoes, we expect the domestic price of shoes to rise, domestic consumption to fall, and domestic production to rise.

A levy on imported goods is known as a tariff. The use of an example is the simplest way to explain how it operates. The US lumber industry is the example we've used throughout this section, and it's continuing below. The domestic equilibrium price and quantity in the domestic market are $1,000 per board foot and 40 million board feet, respectively. PD = $1,000 and QD = 40,000,000 are used to represent this. The world price, or PW, in this instance is significantly less than the local price. While this is not always the case, if PW is higher than PD, there is no reason to import (This model assumes that imports are identical to domestic products in every respect except for price).

American customers will buy a lot more lumber if they can obtain imports for as little as $400. The number of units they will be demanded will rise to 70 million (40 million more than the domestic equilibrium). With the improved accessibility to inexpensive lumber, these consumers are vastly better off.

The imports, on the other hand, cause domestic producers to lose a significant amount of surplus. Previously, they could have provided 40 million board feet of lumber for $1,000, but now they can only provide 10 million. This is due to the fact that many domestic companies will either exit the market or reduce production since they can no longer compete with the foreign production.

60 million board feet of lumber are imported from Canada out of a total production of 70 million board feet, 10 million of which are produced domestically.

To lean more about Tariffs from the given link.

brainly.com/question/26923792

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3 0
1 year ago
When is a consumer most likely to engage in cognitive decision-making?
Elenna [48]

A consumer is most likely to engage in cognitive decision-making when: The outcome of the decision has a high degree of risk.

<h3>Cognitive decision-making </h3>

A consumer can tend to engage in cognitive decision-making when  the following occur:

  • When the decision making  mode is most common.
  • When the decision making  is related to the consumer  self-concept.
  • When the outcome or the result of the decision made by the consumer  has a high degree of risk.

Therefore a consumer is most likely to engage in cognitive decision-making when: The outcome of the decision has a high degree of risk.

Learn more about cognitive decision-making here:brainly.com/question/27413209

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8 0
2 years ago
Russnak Corporation is investigating automating a process by purchasing a new machine for $505,000 that would have a 10 year use
Svetradugi [14.3K]

Answer:

20.1%

Explanation:

The computation of the simple rate of return is shown below;

= (operating cost - depreciation) ÷ (purchase of new machine - scrap value)

= ($145,500  - $50,500) ÷ ($505,000 - $35,000)

= ($94,500) ÷ ($470,000)

= 20.1%

hence, the simple rate of return is 20.1%

The same would be considered and relevant

6 0
3 years ago
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