Answer and Explanation:
Perfect competition is a competitive market where there is a very wide number of buyers and sellers who offer the same or similar goods with great product and service information. Furthermore, this sector has free entry and exit
So it is a perfectly competitive market, also it cannot influence the market price also there are price takers
Also the given statement is false as it represents the monopoly market not the perfect competition market
Answer:
D) its revenue minus its cost of intermediate goods.
Explanation:
The firm value added shows a difference between the revenue and the cost of intermediate goods
In mathematically,
Firm value added = Revenue - cost of intermediate goods
After deducting the cost of intermediate goods from the revenue we can get the firm value added
Hence, the option D is correct as it denotes the firm value added
Answer:
Revenue variance $1800<u> </u>Favorable
Explanation:
<em>Revenue variance is the difference between the actual revenue and the standard revenue from the actual units sold. It is can be determined as follows:</em>
Revenue variance
$
Revenue from 32 units (32× 3,800) 121,600
Actual revenue <u>123,400</u>
Revenue variance <u> 1800 </u>Favorable
Revenue variance $1800<u> </u>Favorable
Answer:
$6210.00
Explanation:
The computation of total dollar return on the investment is shown below:-
Total Return on Shares = (Dividend + (Sale price - Purchase price)) × Number of Shares
= ($0.65 + $40.18 - $36.23) × 1,350
= $4.6 × 1,350
= $6210.00
Therefore for computing the total return on shares we simply applied the above formula.
An example of a study that has a false correlation caused by a lurking variable is " research scientist examines the influence of diet and exercise on a an individual's blood pressure."
<h3>What is a lurking variable in a study?</h3>
Lurking variable is known to be a kind of a variable that is said not be the explanatory variable nor can it be called the response variable but it is one that is seen to have a relationship (e.g. correlation) with the response and that of the explanatory variable.
Note that A lurking variable is one that can be falsely identify as a strong relationship that exist between variables or it is one that often hide the true relationship.
Hence, An example of a study that has a false correlation caused by a lurking variable is " research scientist examines the influence of diet and exercise on a an individual's blood pressure."
Learn more about lurking variable from
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