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LenaWriter [7]
3 years ago
10

You own a house that you rent for $1,325 per month. The maintenance expenses on the house average $245 per month. The house cost

$228,000 when you purchased it 4 years ago. A recent appraisal on the house valued it at $250,000. If you sell the house you will incur $20,000 in real estate fees. The annual property taxes are $2,950. You are deciding whether to sell the house or convert it for your own use as a professional office. What value should you place on this house when analyzing the option of using it as a professional office?a. $225,480b. $250,000c. $0d. $230,000e. $228,000
Business
1 answer:
ANTONII [103]3 years ago
5 0

Answer:

d. $230,000

Explanation:

Calculation to determine What value should you place on this house when analyzing the option of using it as a professional office

Using this formula

Opportunity cost = Recent appraisal on the house - Real estate fees

Let plug in the formula

Opportunity cost = $250,000 - $20,000

Opportunity cost = $230,000

Therefore the value you should place on this house when analyzing the option of using it as a professional office is $230,000

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A firm has a profit margin of 5.1 percent, a total asset turnover of 1.84, and a return on equity of 16.2 percent. What is the d
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Answer:

Debt / Equity = 0.72649 : 1 or 72.649%

Explanation:

The ROE or return on equity can be calculated using the Du Pont equation. It breaks the ROE into three components. The formula for ROE under Du Pont is,

ROE = Net Income / Sales * Sales / Total Assets * Total Assets / Shareholder's equity

or

ROE = Net Income / Total equity

Assuming that sales is $100.

Net Income = 100 * 0.051 = 5.1

Total Assets = 100 / 1.84

Total Assets = 54.35

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Total Equity = 5.1 / 0.162

Total Equity = 31.48

We know that Assets = Debt + Equity

So,

54.35 = Debt + 31.48

Debt = 54.35 - 31.48

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Debt / Equity = 22.87 / 31.48

Debt / Equity = 0.72649 : 1 or 72.649%

6 0
3 years ago
An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cos
gulaghasi [49]

Answer:

(1) \text{Total Cost}=1246.67+7.60\ \text{Volume}

(2) The variable cost per unit produced is $7.60.

(3) The coefficient of determination is 0.96 or 96%.

(4) The estimated total cost is $5,046.67.

Explanation:

A regression analysis for the provided data is performed on Microsoft Excel.

The output is attached below.

(1)

The estimated regression equation that could be used to predict the total cost for a given production volume is:

\text{Total Cost}=1246.67+7.60\ \text{Volume}

(2)

The variable cost per unit produced is given by the slope of the line.

The slope of a regression line represent the value of the dependent variable for one unit of the independent variable.

So, the variable cost per unit produced is $7.60.

(3)

Consider the regression output attached.

The coefficient of determination is 0.96 or 96%.

This implies that the percentage of the variation in total cost that can be explained by production volume is 96%.

(4)

For Volume = 500 units predict the total cost as follows:

\text{Total Cost}=1246.67+7.60\ \text{Volume}

                 =1246.67+(7.60\times 500)\\\\=1246.67+3800\\\\=5046.67

Thus, the estimated total cost is $5,046.67.

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A compromise can only be reached when ______.
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Answer:

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8 0
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