Answer:
D. $ 367.500
Explanation:
We have to first compute the total direct labor cost. This is done by multiplying the estimated direct labor hours with the hourly rate.
Total Direct Labour costs $ 17.50 per hour * 15,000 hours = $ 262,500
Estimated manufacturing overhead per the data in the question is 140 % of Direct labor cost,
Estimated manufacturing overhead is $ 262,500 * 140 % = $ 367,500
Answer: The relationship between A and B project cannot be determined with the information given.
Explanation: The relationship between PW(A) and PW(B) is the correlation between project A and Project B in a portfolio.
This is not possible to be calculated with the information given.
But an expression of calculating this is;
PW is the present value of A and B projects.
MARR is the minimum acceptable rate of return
The calculate the correlation of the two project, divide MARR by the multiple of the two project.
That is;
Correlation = MARR ÷ [PW(A) × PW(B)]
Therefore;
Correlation = i11% ÷ [PW(A) × PW(B)]
This shows that the relationship cannot be determined with the limited Information supplied.
Answer:
Explanation:
Where the culture and the mode of living are completely different, international business is going beyond boundaries.
People of single culture and region are been dealt with in the domestic business, and it is easy to know what the customer needs. Many cultures are been dealt with when it comes to international business, and there is a need for product customization as per the location. This would require a team that manages these issues in each region.
Hence, when compared to domestic business, the business will be in a large mode. Thus, there is a separate course for international business which helps us to reach the heights we require to see the whole world.
Based on the explanation above, the statement given in the question is false.
One-Product<span> Companies. i belive
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The statement in the question is True.
<u>Explanation:</u>
In statistics, the residual sum of squares (RSS), otherwise called the sum of squared residuals (SSR) or the total of squared estimate of errors (SSE), is the aggregate of the squares of residuals (deviations anticipated from real observational estimations of information). It is a proportion of the error between the information and an estimation model.
A little RSS demonstrates a tight attack of the model to the information. It is utilized as an optimality standard in parameter determination and model choice.
