Answer:
A. Market research consists of a series of facts that fails to consider the role of investor behavior in the decision-making process
Explanation:
Answer:
Jobs must be designed to give employees the necessary latitude for making a variety of decisions.
Explanation:
By definition, employee empowerment means that the employees are given with the right amount of power and autonomy, such that they have the leverage to make the decisions that can benefit the overall organization. Empowerment does not restrict decision making authority to only the top hierarchical levels, but extends the same authority to lower levels as well.
Answer: Greater than or equal to $25
Explanation:
Transfer price is the price at which products are sold between different departments of a firm.
The need for transfer price is borne out of the fact that some departments finished products are the raw materials for another
There is also the need for effective evaluation of the departments as a separate units .
Some Frm's usually gives there departments permission to sell at the prevailing market price considering the fact this is lowest price the buying department will be able to obtain it in the market.
In the example above the fungal division will only be able to obtain the product at the current market price of $25 which is the basis for this answer.
Answer:
Break-even point (dollars)= $9,976.25
Explanation:
Giving the following information:
Fixed costs:
Rent $2,500
Utilities $500
Interest $750
An insurance premium of $200
Advertising on local bus $250 a month
Total= $4,200
A small bucket of take-out chicken, the only menu item, is priced at $9.50. Unit variable costs for the bucket of chicken are $5.50.
To calculate the break-even point in dollars, we need to use the following formula:
Break-even point (dollars)= fixed costs/ contribution margin ratio
Break-even point (dollars)= 4,200/ [(9.5 - 5.5)/9.5]
Break-even point (dollars)= 4,200/0.421
Break-even point (dollars)= $9,976.25
Answer and explanation:
Regression coefficients portrait the changes in variables after one unit has changed keeping the rest of the predictors of the model the same. While the <em>simple linear regression</em> is predicted from one variable, the <em>multiple regression</em> is predicted for more than one of them.