The systematic response coefficient from inflation, would result in a change in any security return of <u>3.2 βI</u>.
<u>Explanation</u>:
<em><u>Given</u></em>:
Expected rate of inflation = 3%
Actual rate of inflation = 6.2%
The change in security return can be calculated by obtaining the differences between actual and expected levels of inflation.
Change in security return= Actual rate of inflation- Expected rate of inflation
= 6.2%-3%
= 3.2%
<u>Change in security return= 3.2 βI
</u>
<u></u>
Answer:
3
Explanation:
Data provided in the question:
Sales for the last four months :
8, 10, 15, and 9 units
Last four forecast of sales:
9, 11, 8 and 12 units
Now,
The mean absolute deviation (MAD) value of these forecast will be calculated as:
MAD = [ ∑|Sales - Forecast sales| ] ÷ [ Total number of forecast ]
or
MAD = [ |8 - 9| + |10 - 11| + |15 - 8| + |9 - 12| ] ÷ 4
or
MAD = [ 1 + 1 + 7 + 3 ] ÷ 4
or
MAD = 12 ÷ 4
or
MAD = 3
Answer:
a person on whom you can rely
Explanation:
it's the correct answer
Answer:
The max revenue is "$32,300". The further explanation is described below.
Explanation:
(a)
The composition as well as response of models within 6 rows seems to be as described in the following:
Maximum 1650B + 850N + 790P (B bracelets, N necklaces and P pins produce overall revenue)
Yes of course,
The total gold ounces will be:
⇒ 
The total labor hours will be:
⇒ 
Integers B, N, P will become
The response for LINDO is:
B=10.0.
N=0
P=20
Final Value of Maximization will be:
= 32,300
(b)
- 10 bracelets, hardly any necklaces as well as 20 pins should always be made by the shop.
- These goods utilizing 125 ounces of gold simultaneously,
- It would use 310 hours of labor although 10 hours would then stay unused.
The maximum salary will become:
= $32,300.
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