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andriy [413]
3 years ago
14

Omega Company reported the following information for the company's two products: Product X Product Y Selling price per unit $ 35

$ 25 Variable cost per unit 20 15 Assume that 75,000 machine hours are available; product X takes 4 machine hours to produce, and product Y takes 2 machine hours to produce. The company can sell all it can make of either product. Which of the following statements is true?A) Product Y should be produced because more of it can be produced.B) Product Y should be produced because it will produce greater total profit.C) Product X should be produced because it provides a greater contribution margin.D) Both products provide the same total profit.
Business
2 answers:
Elena L [17]3 years ago
5 0

Answer:

Omega Company

B) Product Y should be produced because it will produce greater total profit.

Explanation:

If only Product X is produced, the total profit it will produced is:

Selling price = $35

Variable Cost = $20

Contribution = $15

Total Contribution = $15 x 75,000/4 = $281,250

If only Product Y is produced, the total profit will be:

Selling price = $25

Variable cost = $15

Contribution = $10

Total Contribution = $10 x 75,000/2 = $375,000

Product Y therefore produces a greater total profit.  This is because the fixed cost will remain the same if there are no avoidable elements.

dexar [7]3 years ago
4 0

Answer:

B) Product Y should be produced because it will produce greater total profits

Explanation:

The contribution margin per unit determines the contribution per unit for a given product. The contribution margin in limited resources is calculated by dividing contribution margin by per unit scarce resource. The product X contribution margin is $15 ($35 - $20) and product Y contribution margin is $10. Keeping the scarce resource if machine hours in view the contribution margin is

Product X = $15 / 4 machine hours = $3.75 per machine hour

Product Y = $10 / 2 machine hours = $5 per machine hour

The Omega Company should produce more of product Y because it uses less machine hours and is more profitable.

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Answer:

correct option is a.$0

Explanation:

given data

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how much passive activity loss can White Corporation deduct

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so correct option is a.$0

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Briefly describe an experiment that would test the premack differential probability principle
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The economic analysis of minimum wage involves both normative and positive analysis. Consider the following consequences of a mi
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<u>Explanation:</u>

First, remember that the difference between <em>normative and positive economic analysis</em> is that;

Normative analysis take a somewhat neutral view by stating how the world should be. While

The Positive analysis states the facts. That is, it describes the world as it is.

<u> Thus, a </u><u>Normative analysis</u><u> of the consequence of minimum​ wage would be the following statements:</u>

c. In some cities such as San Francisco and New​ York, it would be impossible for low−skilled workers to live comfortably in the city without minimum wage laws.

d. The gains to winners of a minimum wage law should be valued more highly than the losses to losers because the latter primarily comprises businesses.

<u>And a </u><u>Positive analysis</u><u> of the consequence of minimum​ wage would be the following statements:</u>

a. The minimum wage law causes unemployment.

b. A minimum wage law benefits some groups and hurts others.

4 0
2 years ago
Suppose that the S&amp;P 500, with a beta of 1.0, has an expected return of 13% and T-bills provide a risk-free return of 4%. a.
Aleksandr [31]

Answer:

a. The answers are as follows:

(i) Expected of Return of Portfolio = 4%; and Beta of Portfolio = 0

(ii) Expected of Return of Portfolio = 6.25%; and Beta of Portfolio = 0.25

(iii) Expected of Return of Portfolio = 8.50%; and Beta of Portfolio = 0.50

(iv) Expected of Return of Portfolio = 10.75%; and Beta of Portfolio = 0.75

(v) Expected of Return of Portfolio = 13%; and Beta of Portfolio = 1.0

b. Change in expected return = 9% increase

Explanation:

Note: This question is not complete as part b of it is omitted. The complete question is therefore provided before answering the question as follows:

Suppose that the S&P 500, with a beta of 1.0, has an expected return of 13% and T-bills provide a risk-free return of 4%.

a. What would be the expected return and beta of portfolios constructed from these two assets with weights in the S&P 500 of (i) 0; (ii) 0.25; (iii) 0.50; (iv) 0.75; (v) 1.0

b. How does expected return vary with beta? (Do not round intermediate calculations.)

The explanation to the answers are now provided as follows:

a. What would be the expected return and beta of portfolios constructed from these two assets with weights in the S&P 500 of (i) 0; (ii) 0.25; (iii) 0.50; (iv) 0.75; (v) 1.0

To calculate these, we use the following formula:

Expected of Return of Portfolio = (WS&P * RS&P) + (WT * RT) ………… (1)

Beta of Portfolio = (WS&P * BS&P) + (WT * BT) ………………..………………. (2)

Where;

WS&P = Weight of S&P = (1) – (1v)

RS&P = Return of S&P = 13%, or 0.13

WT = Weight of T-bills = 1 – WS&P

RT = Return of T-bills = 4%, or 0.04

BS&P = 1.0

BT = 0

After substituting the values into equation (1) & (2), we therefore have:

(i) Expected return and beta of portfolios with weights in the S&P 500 of 0 (i.e. WS&P = 0)

Using equation (1), we have:

Expected of Return of Portfolio = (0 * 0.13) + ((1 - 0) * 0.04) = 0.04, or 4%

Using equation (2), we have:

Beta of Portfolio = (0 * 1.0) + ((1 - 0) * 0) = 0

(ii) Expected return and beta of portfolios with weights in the S&P 500 of 0.25 (i.e. WS&P = 0.25)

Using equation (1), we have:

Expected of Return of Portfolio = (0.25 * 0.13) + ((1 - 0.25) * 0.04) = 0.0625, or 6.25%

Using equation (2), we have:

Beta of Portfolio = (0.25 * 1.0) + ((1 - 0.25) * 0) = 0.25

(iii) Expected return and beta of portfolios with weights in the S&P 500 of 0.50 (i.e. WS&P = 0.50)

Using equation (1), we have:

Expected of Return of Portfolio = (0.50 * 0.13) + ((1 - 0.50) * 0.04) = 0.0850, or 8.50%

Using equation (2), we have:

Beta of Portfolio = (0.50 * 1.0) + ((1 - 0.50) * 0) = 0.50

(iv) Expected return and beta of portfolios with weights in the S&P 500 of 0.75 (i.e. WS&P = 0.75)

Using equation (1), we have:

Expected of Return of Portfolio = (0.75 * 0.13) + ((1 - 0.75) * 0.04) = 0.1075, or 10.75%

Using equation (2), we have:

Beta of Portfolio = (0.75 * 1.0) + ((1 - 0.75) * 0) = 0.75

(v) Expected return and beta of portfolios with weights in the S&P 500 of 1.0 (i.e. WS&P = 1.0)

Using equation (1), we have:

Expected of Return of Portfolio = (1.0 * 0.13) + ((1 – 1.0) * 0.04) = 0.13, or 13%

Using equation (2), we have:

Beta of Portfolio = (1.0 * 1.0) + (1 – 1.0) * 0) = 1.0

b. How does expected return vary with beta? (Do not round intermediate calculations.)

There expected return will increase by the percentage of the difference between Expected Return and Risk free rate. That is;

Change in expected return = Expected Return - Risk free rate = 13% - 4% = 9% increase

4 0
2 years ago
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