A critical trade-off which must be considered when choosing a forecasting technique is that between: C. cost and accuracy.
<h3>What is a 
forecasting technique?</h3>
A forecasting technique can be defined as a process through which predictions can be made about the economy, especially based on macroeconomic and microeconomic conditions such as:
In Economics, cost and accuracy is a critical trade-off which must be considered when choosing a forecasting technique.
Read more on forecasting technique here: brainly.com/question/23009258
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Answer:
21%
Explanation:
We can calculate the expected return of a firm by add dividend yield and growth rate but in this question, the growth rate is not given therefore we will find growth rate first with the available data 
DATA
Payout ratio = 0.4 
Return on equity = 25%
Dividend yield = 6%
Solution 
Growth rate = Return on equity x retention ratio 
Growth rate = Return on equity x (1 - payout ratio)
Growth rate = 25% x (1-0.4)
Growth rate = 25% x 0.6
Growth rate = 15%
Expected return = Dividend yield + growth rate 
Expected return = 6% + 15%
Expected return = 21%
 
        
             
        
        
        
Answer:
Revenue - March = $160
Explanation:
The accrual principle in accounting states that the revenues for a period should match the expenses for that particular period and any revenue or expense should be recorded in the period to which it relates to. This means that the upfront fee received by Fit Co. is a liability and should not be recorded as a revenue until it is earned. So, by providing two sessions in the month of March, Fit Co. has earned revenue for 2 sessions out of the twelve. Thus, at the end of March, Fit Co. should record a revenue of,
Revenue - march = 960 * 2/12 = $160
 
        
             
        
        
        
 A. because The United States and other countries import and export goods  for the need of there country.
        
             
        
        
        
The expected value for the number of cars with defects can
be obtained by multiplying the probability of success (i.e. the percentage of
products with defects - 40%) by the number of cases (i.e. the number of cars
purchased – 5).
 
40 / 100 X 5 = 2
 
Therefore, the expected value for the number of cars with
defects will be the percentage of products with defects is 2