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dangina [55]
3 years ago
12

On July 1, 2021, Apache Company, a real estate developer, sold a parcel of land to a construction company for $3,000,000. The bo

ok value of the land on Apache’s books was $1,200,000. Terms of the sale required a down payment of $150,000 and 19 annual payments of $150,000 plus interest at an appropriate interest rate due on each July 1 beginning in 2022. How much revenue will Apache recognize for the sale (ignoring interest), assuming that it recognizes revenue at the point in time at which it transfers the land to the construction company? (Leave no cells blank - be certain to enter 0" wherever required.)"
Business
1 answer:
atroni [7]3 years ago
4 0

Answer:

Revenue 2021 = $3,000,000

Revenue 2022 = $0

Explanation:

Given that,

Sold a parcel of land to a construction company = $3,000,000

book value of the land on Apache’s books = $1,200,000

In this case, revenue is identified at a point when the parcel of land is transferred to the construction company.

Therefore, full revenue from the sale of land should be recognized in the year 2021 because the transfer of land occured in 2021 and there will be no revenue reflected in the year 2022.

Revenue 2021 = $3,000,000

Revenue 2022 = $0

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Let x be per capita income in thousands of dollars. Let y be the number of medical doctors per 10,000 residents. Six small citie
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Answer:

The percentage of variation esplained by the model is given by the determination coefficient, on this case:

R^2 = 0.934^2 =0.872

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Explanation:

Assuming the following dataset:

x                 y

8.6           9.6

9.3           18.5

10.1          20.9

8.0           10.2

8.3           11.4

8.7            13.1

Assuming this question: "The data has a correlation coefficient of r = 0.934. Calculate the regression line for this  data. What percentage ofvariation is explained by the regression line? Predict the number of doctors per 10,000 residents in a town with a per capita income of $8500."

We want a linear model like this:

y = mx +b

Where m represent the slope and b the intercept for the linear model. And we cna find the slope and b with the following formulas:

m = \frac{n \sum xy - \sum x \sum y}{n \sum x^2 -(\sum x)^2}

b = \frac{\sum y}{n} -m \frac{\sum x}{n}

And from the dataset we have the following values:

n= 6, \sum x =53, \sum y = 83.7 , \sum xy = 755.89, \sum x^2 = 471.04

And replacing into the equation for m we got:

m =\frac{6(755.89) - (53)(83.7)}{6(471.04) -(53)^2}=5.756

And the intercept:

b = \frac{83.7}{6}-36.895 5.756 \frac{53}{6}=-36.895

And then the linear model is given by:

\hat y = 5.756 x -36.895

We can find the estimation replacing x = 8.5 into the linear model and we got:

\hat y = 5.756(8.5) -36.895=12.031

And we have 12.031 doctors per 10000 residents.

The percentage of variation esplained by the model is given by the determination coefficient, on this case:

R^2 = 0.934^2 =0.872

And we have 87.2% of the variation explained by the linear model given.

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