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Ilia_Sergeevich [38]
3 years ago
6

Which of the following price bases is mostly likely to be used for commercial construction projects or custom-made equipment?

Business
1 answer:
Svet_ta [14]3 years ago
4 0

Answer:

b. cost-plus pricing

Explanation:

cost-plus pricing is a price base that involves a markup addition to the cost of services and goods to get to the final selling price. In this technique you compute all cost (material, labor, etc) and then add a percentage in order to obtain the product's price

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"what are the major factors customers use when selecting a restaurant to dine" at, and what is the relative importance of each o
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Abstract

This study investigates the critical dimension of factors driving restaurant choice among 277 consumers, predominantly residents of the Southeastern United States. The food provided (quality, taste) was central to respondents' decision to favor one restaurant over another, though prior positive experience, a clean production/service environment, and hospitable service are additional factors that most strongly influenced restaurant choice.

5 0
4 years ago
Which of the following statements indicate a disadvantage of using the discounted payback period for capital budgeting decisions
lapo4ka [179]

Answer:

A & B

a. The discounted payback period does not take the project’s entire life into account

b. The discounted payback period does not take the time value of money into account

Explanation:

3 0
3 years ago
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The chart shows the marginal cost of producing apple pies. This chart demonstrates that the marginal cost initially decreases as
NeTakaya

Answer: This chart demonstrates that the marginal cost initially decreases as production increases.

Marginal Cost refers to the cost of producing an additional unit of a good. As production increases, marginal costs will initially decrease.  

In the short run, factors of production like capital are fixed. Only labor is variable and varies with the number of units produced. Initially, employing more labor results in better productivity and help in decreasing the marginal costs. However, as more units of labor are employed, labor become less productive and the law of diminishing marginal returns sets in. Hence the marginal cost curve begins to rise.  


9 0
3 years ago
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Susan owns a car that she uses exclusively for personal purposes. Its original cost was $26,000, and the fair market value is $1
givi [52]

Answer:

$22,000

Explanation:

The original cost of the car was : $26,000

The fair market value of the car was : $12,000

The car was bought at a price higher than its fair market value by :

$26000-$12000 = $14000

She exchanges the car for $18000 to get a new one;

The loss while selling the car is : $26000-$18000=$8000

Total loss realized is  : $14000 +$8000 = $22,000

3 0
3 years ago
The given data represent the total compensation for 10 randomly selected CEOs and their​ company's stock performance in 2009. An
jok3333 [9.3K]

Missing Question Data:

As the Question is missing relevant data, I have searched for it online and found a question similar. The data is attached in a picture file. It might be a little different from your actual question but same approach can be used to solve the question.

Answer with Explanation:

For simplicity, we denote the compensations with variable <em>x </em>and the stock return with variable <em>y.</em> Let us first find the mean and standard deviation for both compensation (x) and return (y).

Mean of Compensation (<em>x) </em> will be,

X\;=\;\frac{26.43\;+\;12.03\;+\;19.74\;+\;13.54\;+\;11.97\;+\;11.41\;+\;25.94\;+\;14.46\;+\;17.13\;+\;14.71}{10}

X\; = \;16.737

Mean of Stock Return (y) will be,

Y\;=\;\frac{5.43\;+\;30.89\;+\;31.89\;+\;80.06\;-\;8.22\;+\;2.89\;+\;4.39\;+\;10.95\;+\;4.18\;+\;11.94}{10}

Y\;=\;17.44

Standard Deviation for Compensation (x) is given by,

\sigma _{x}\;=\;\sqrt{\frac{\sum (x_{i}-X)^{2}}{N}}

\sigma _{x}\;=\;\sqrt{\frac{(26.43-16.73)^{2}+(12.03-16.73)^{2}+....+(14.71-16.73)^{2}}{10}}

\sigma _{x}\;=\;5.30

Standard Deviation for Compensation (x) is given by,

\sigma _{y}\;=\;\sqrt{\frac{\sum (y_{i}-Y)^{2}}{N}}

\sigma _{y}\;=\;\sqrt{\frac{(5.43-17.44)^{2}+(30.89-17.44)^{2}+....+(11.94-17.44)^{2}}{10}}

\sigma_{y}\;=\;23.97

To find the predicted stock return, we have to use the equation for of line of regression,

y_{required}\;-\;Y\;=\;z\;*\;\frac{\sigma _{x}}{\sigma _{y}}\;*\;(x_{required}-X)\;.........\;(1)

where,

z\; =\;Correlation\;coefficient\;=\;-0.2426\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;(given)

x_{required}\;=\;Compensation\;of\;\$15\;million\;=\;15

y_{required}\;=\;Stock\;return\;at\;x_{required}

Equation (1) will become,

y_{required}\;-\;17.44\;=\;-0.2426\;*\;\frac{5.30}{23.97}\;*\;(15\;-\;16.73)

y_{required}\;=\;-0.054*\;(-1.73)\;+\;17.44\;

y_{required}\;=\;17.533.

4 0
3 years ago
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