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3 years ago

What are the 4 questions to ask when you analyze a transaction into Debits & Credits

Business

1 answer:

Alex777 [14]3 years ago

3 0

1.which accounts are affected?

2.how is each account classified?

3.how is each classification changed

4.how is each amount entered in the account?

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Suppose that consumption is $500 and that the marginal propensity to consume is 0.6. If disposable income increases by $1,000, c

Lynna [10]

Answer:

A. $600

Explanation:

The formula and the computation of the Marginal propensity to consume are shown below:

Marginal propensity to consume = Change in consumer spending ÷ Change in disposal income

0.6 = Change in consumer spending ÷ $1,000

So, the change in consumer spending is

= $1,000 × 0.6

= $600

Hence, the consumption that is given in the question is not considered. Therefore, ignored it

8 0

3 years ago

Large companies such as Walmart, IBM, and Ford are classified as A. S-corporations. B. C-corporations. C. limited liability comp

Lostsunrise [7]

Large companies such as Walmart, IBM, and Ford are classified as C Corporations. C Corporations offer liability protection for their shareholders. Each shareholder is only financially liable for the amount he has invested in the company. Its profits are taxed separately from its owners under sub chapter C of the Internal Revenue Code.

6 0

3 years ago

Read 2 more answers

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

One of Jacinta's regular clients sends her an email accusing her of charging more money for a couch than it is really worth. The

shepuryov [24]

It’s C focus on discussing the
Past.

7 0

2 years ago

How can cybercriminals harm a person whose personal information they have stolen?

Leokris [45]

When a person obtains someone else's personal information, these are some thing that could potentially happen that would harm the person whose identity has been stolen: Open new lines of credit (can harm your credit and incur debt). Seek medical attention (could be harmful by getting incorrect medical information on your record, or incurring debt). Drain savings and retirement accounts Provide an alias when arrested (harmful if the cops look for you when the other person runs, or if the other person uses your information to pay bail. Get a job and file false tax returns (could be harmful when the IRS sees the records and thinks that you are not paying taxes on all of your income).

3 0

3 years ago