Answer: Percentage change OCF = 27.96%.
Explanation:
Given that,
Output level = 59,000 units
Degree of operating leverage = 3.3
Output rises to 64,000 units,
Degree of Leverage = 
Percentage change OCF = Degree of Leverage × Percentage change in Quantity
= 
= 27.96%
Answer:
a. Human capital return on investment
Explanation:
Human capital return on investment -
It helps to determine the profit return of the company or organisation on the per unit expenditure on the employees , is referred to as the Human capital return on investment .
It is basically the interconnection between the profit of the company and the cost on the workforce .
hence , from the given scenario of the question,
The correct option is a. Human capital return on investment .
Answer:
The correct answer is "Gross domestic product (GDP)"
Explanation:
The market value of all the final goods and services produced in a specific time period is called Gross Domestic Product GDP
Answer:
a. The director is wrong: the lurking variable here is the severity of the blizzard. A more severe blizzard calls for more plows and keeps people at home, where they are more likely to make online purchases.
Explanation:
The director is correlating the number of snow plows on the road with the amount of online purchases - the <em>correlation </em>is high, but it doesn't mean that the increase on online purchases is <em>caused </em>by the number of snow plows on the road.
The question is: why would the number of snow plows on the road increase in the first place? Snow plows are sent out according to the amount of snow that has fallen, which means that the <em>lurking variable </em>that explains the increase in the number of snow plows and the amount of online purchases, is the severity of the blizzard in terms of how much snow has fallen. When the weather outside is too harsh or dangerous for people to go out, then it is most likely that they prefer online purchases. If the director were to analyze the correlation between the severity of the blizzard and the amount of online purchases, he would find a high correlation as well and in this case it would be the variable that actually explains the behavior of the consumers.
Remember that a lurking variable is the non-controlled variable that affects both the dependent and independent variables. In this case, there is nothing that the director can do about the severity of the blizzard besides perhaps increasing the stock whenever the severe blizzard season rolls around.
