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Digiron [165]
2 years ago
13

The Consumer Products Division of Goich Corporation had average operating assets of $800,000 and net operating income of $81,300

in May. The minimum required rate of return for performance evaluation purposes is 10%. What was the Consumer Products Division's residual income in May
Business
1 answer:
Alex73 [517]2 years ago
8 0

The Consumer Products Division's residual income in May is $1,300

<h3>What is residual income?</h3>

Residual income is the amount of money an individual or business has remaining after paying all expenses.

Given that:

Net operating income

= $81,300

Average operating assets

= $800,000

Minimum required return

= Average operating assets * Rate of return

=  $800,000 * 10%

= $80,000

Residual income

= Net operating income - Minimum required return

= $81,300 - $80,000

= $1,300

Hence, the Consumer Products Division's residual income in May is $1,300

Learn more about residual income here: brainly.com/question/22985922

#SPJ1

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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

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.

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A manager wants to determine the number of containers to use for incoming parts for a kanban system to be installed next month.
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Answer:

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Jallouk Corporation has two different bonds currently outstanding. Bond M has a face value of $50,000 and matures in 20 years. T
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The answer and procedures of the exercise are attached in the following archives.

Step-by-step explanation:

You will find the procedures, formulas or necessary explanations in the archive attached below. If you have any question ask and I will aclare your doubts kindly.  

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____ is a measure of the intensity of competitive behavior among companies in an industry. A. Bargaining power of firms B. Chara
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