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zysi [14]
3 years ago
6

In California, Arthur wants to personally place business with RTS Insurance Company who is a nonadmitted carrier. The only way A

rthur can rightfully place such business is if he seeks a:
Business
1 answer:
Cloud [144]3 years ago
7 0

Answer

Professional ethics and code of conduct regulation

Explanation:

California Professional code of conduct for insurance agent does not permit unethical placement, as the regulator view such as fraudulent practices.

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How is unit labor cost computed? a. By dividing the total level of output by the total cost of workers b. By dividing the total
elena-14-01-66 [18.8K]

Answer:

The correct answer is letter "C": By dividing the average cost of workers by their average levels of output.

Explanation:

The Unit of Labor cost measures how much it costs to compensate and employee per unit manufactured. It is calculated by dividing the average cost of employees with an average level of production. The result is expressed as a percentage of the labor compensation per hour in regards to the units produced without the same time.

5 0
3 years ago
You deposit $4000 into a savings account. the account earns 2.75% simple interest. how long will it take to earn $220 in interes
Dovator [93]
Simple interest means that you only need to find the interest once and then keep adding it on every year. In this case, the interest would be 2.75% of $4000 every year, which is 110. 

In 2 years, you'll have 220 because every year you gain 110 in interest.
6 0
3 years ago
Compared to a country with an MPS of 0.05, a country with an MPS of 0.2 would have to change government expenditures by ________
const2013 [10]

Answer: Four times.

Explanation:

Based on the information given, the government expenditure multiplier in this case goes thus:

K = ∆Y/∆G = 1/1-MPC = 1/MPS

For the first country with a MPS of 0.05, K = 1/MPS = 1/0.05 = 20

For the first country with a MPS of 0.2, K = 1/MPS = 1/0.2 = 5

Therefore, 20/5 = 4.

Therefore, the answer is four times.

8 0
3 years ago
Suppose that the home country in the two-sector (manufacturing and agriculture) specific-factors model has a comparative advanta
Whitepunk [10]

Answer:

Explanation:

In a situation such as this one the individual workers and their families may be better off or may actually do worse due to the real wage rises in terms of agricultural goods but the real wage in terms of the manufactured goods will actually fall. Therefore it depends on the worker's unique situation and in which sector they are in which determines if they are better or worse.

5 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
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