Answer:
The income received by an individual who supplies labor services equals the incremental benefit generated to the firm by the individual´s labor
Explanation:
The marginal productivity theory of income or wages states: firms pay a salary that is equal to the extra benefit a (that is why is marginal; an extra unit in this case is an extra unit of labor) worker represents in output of production. In other words, if the firm employees a new worker, its salary would be equal to the extra output produced by him or her (marginal product of labor). Because of this, wages depend on the production function each firm has. The mathematical formula to get the marginal product of labor is: dF/dL, where F is the production function and L represent labor in it.
Answer:
A
Explanation: The Securities and Exchange Commission
<h2>
Answer:</h2><h3>The purpose of inspection reports is to document the inspection scope, observation, and findings</h3><h3>of inspections conducted by the NRC. </h3>
<h2>
Explanation:</h2><h3>The NRC performs inspections to oversee the commercial nuclear industry to determine </h3><h3>whether its requirements are being met by licensees and their contractors.</h3>
The minimum requirement of salary = $53760
<u>Explanation:</u>
Cost of living in city is 12 percent higher than where Luke Anderson lives. So, Luke Anderson will require 12 percent higher salary than existing salary in order to maintain the existing standard of living
<u>The calculations are as follows.
</u>
Current salary of Luke Anderson = $48000
12 percent increase = 48000 multiply with 12 percent = 5760
Thus, the required minimum salary = 48000+ 5760 = 53760
So, Luke Anderson will require minimum salary of $53760
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."
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