Answer:
$3,500 Unfavorable
Explanation:
The computation of variable overhead efficiency variance for Clan for November Year 2 is shown below:-
Variable overhead efficiency variance
= (Standard labor hours - actual labor hours) × (Standard variable overhead rate)
= (3,500 × 2 - 7,500) × $7
= (7,000 - 7,500) × $7
= $3,500 Unfavorable
Therefore for computing the Variable overhead efficiency variance we simply applied the above formula.
Explanation:
In this case, the ideal is to reject a task that is not mandatory in your contract. The boss's attitude in this situation was somewhat sexist, as it reduced the professional skills of a female investment analyst to having to be liked and serving coffee to bankers, since the professional was there to make a great professional presentation.
These unprofessional attitudes can be combated with an assertive attitude, without the professional feeling cornered by the possibility of suffering reprisals, but it is by maintaining an ethical, professional attitude and imposing respect, that it is possible for such unethical acts to be combated and not accepted any more. formal work environment.
The answer would be the stock price will decrease. The reason behind this is the original price replicates an expectation or looking forward of a 25% upsurge in the company’s earnings. The actual increase is a dissatisfaction compared to original expectations.
Answer:
d. economies of scale
Explanation:
Based on the information provided within the question it can be said that this concept is known as an economy of scale. Like mentioned in the question this concept states that as a company scales their operation, the cost of each input unit decreases as their output or production increases, Thus granting the company a cost advantage. As is happening in this scenario.
Answer:
a. linear regression.
Explanation:
Based on the information provided within the question it can be said that in this scenario the best choice would be a linear regression model. That is because this type of approach deals with seeing to what extent there exists a relationship between two variables. Which in this case would be the quantitative data/prices and the square footage of the home.
