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miv72 [106K]
3 years ago
14

The unit of measure assumption states that:

Business
1 answer:
Gelneren [198K]3 years ago
4 0

Answer:

c) results of business activities should be reported in an appropriate monetary unit.

Explanation:

The unit of measure concept is a standard convention used in accounting, under which all transactions must be consistently recorded using the same currency so the periods are comparable.

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Antonio has been learning to draw landscapes. It has been hard at times but he is happy about the progress he has made. What is
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The answer to your question is going to be challenge
6 0
2 years ago
The Smelting Department of Kiner Company has the following production data for November. Production: Beginning work in process 3
Citrus2011 [14]

Answer:

(A) 18,400 units

(B) 12,940 units

Explanation:

The computation of the equivalent units of production for

(A) Material =  Units transferred out +  Ending work in process

                   = 9,300 units + 9,100 units

                   = 18,400 units

(B) Conversion  =  Units transferred out +  (Ending work in process × conversion percentage)

= 9,300 units + 9,100 units × 40%

= 9,300 units + 3,640 units

= 12,940 units

7 0
3 years ago
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
MAVERICK [17]

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

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

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

And we have 12.031 doctors per 10000 residents.

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.

4 0
2 years ago
Why are debit cards not listed as money?
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3 years ago
One of the reason why there's a need for human resource planning
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To make an income and earn
7 0
2 years ago
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