Answer:
The correct answer is The firm's average cost of production remained unchanged over the last 100 units.
Explanation:
The minimum efficient scale is called the value of production for which the average long-term cost is minimal and also coincides with the marginal cost.
On the minimum efficient scale it is said that we are in the smallest possible production in which a long-term competitive company would be interested in producing. Below that value, the company would go into losses and should close.
The curve of long-term average costs is obtained from the envelope of the infinite possible curves of short-term average costs for different plant sizes, that is, for different levels of capital. From this envelope, a U-shaped average cost curve is obtained, at which minimum, precisely, the minimum efficient scale is found.
Two of the most usually used forecast error measures are suggested absolute deviation (MAD) and implied squared errors (MSE). MAD is the average of absolute mistakes. MSE is the average of the squared errors. mistakes of contrary symptoms will not cancel every difference out in both measures. however, with the aid of squaring the mistakes, MSE is extra sensitive to big mistakes. both MAD and MSE can be used to examine the performance of different forecasting techniques. The high-quality approach is the only one that yields the lowest MAD/MSE. - consequently, the statement in the query is fake.
A smoothing regular of 0.1 will motivate an exponential smoothing forecast to react extra quickly to a sudden exchange than a fee of zero. three will. - false
A weighted shifting common permits unequal weighting of earlier time intervals. The sum of the weights has to be identical to 1. often, more recent periods are given better weights than durations farther beyond. Exponential smoothing places big weight on beyond observations, so the initial cost of a call may have an unreasonably big effect on early forecasts. for this reason, the assertion in question is fake.
In an easy linear regression model, the correlation coefficient not handiest indicates the strength of the relationship among independent and structured variables, however, also suggests whether or not the relationship is tremendous or negative. as a result the announcement in the query is genuine.
Forecasting techniques including moving-average, exponential smoothing, and the final-value approach all represent averaged values of time-series records. authentic
The shifting-average forecasting method is a very good one while conditions continue to be pretty a lot identical over the time period being considered.. authentic.
Learn more about the forecasting method here
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Answer:
2.7
Explanation:
Calculation to Determine the asset turnover ratio
Using this formula
Asset Turnover = Sales/Average Total Assets
Let plug in the morning
Asset Turnover =$6,750,000/2,500,000
Asset Turnover =2.7
Therefore the asset turnover ratio is 2.7
Answer:
creamer
Explanation:
Complement Goods:
Are goods that do not compite to each other. At the contrary, if a higher quantity is demanded of one good, a higer demand will ocur n the other as well. And if the demand from one of them decrease, the demand of the complement also decrease.
Give n two products X and Y A consumer will be more like to purchase Y as units X are accumulated.
From the list the only good that fits in this definition is the creamer
Answer:
a)
P 175
Q = 250
Profit6,250
b)
P 325
Q = 875
Profit 153,125
c)
Q = 1200
P = 260
Profit = 287,000
Explanation:
It maximize profit at MR = MC
MR = 200 - 0.2Q
MC = 150
150 = 200-0.2Q
Q = 50/0.2 = Q = 250
Price:
250 = 2000 - 10P
P = 1750/10 = 175
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<u>Profit: revenue - cost</u>
$175 x 250 session - $150 per session = 6,250
<em>At new functions:</em>
150 = 500-0.4Q
Q = 350 / 0.4 = 875
Price:
875 = 2,500 - 5P
P = (2500-875)/5= 325
<u>Profit</u>
(325 - 150) * 875 = 153,125
<u>If cost changes:</u>
cost: 1000 + 20Q
marginal cost: 20
20 = 500 - 0.4Q
Q = 480 / 0.4 = 1,200
Price:
1,200 = 2500 - 5P
P = 1300/5 = 260
<u>Profit</u>
(260 - 20)Q - 1,000 = 287,000
