For a smoothing constant of 0.2
Time period – 1 2 3 4 5 6 7 8 9 10
Actual value – 46 55 39 42 63 54 55 61 52
Forecast – 58 55.6 55.48 52.18 50.15 52.72 52.97 53.38 54.90
Forecast error - -12 -.6 -16.48 – 10.12 12.85 1.28 2.03 7.62 -2.9
The mean square error is 84.12
The mean forecast for period 11 is 54.38
For a smoothing constant of 0.8
Time period – 1 2 3 4 5 6 7 8 9 10
Actual value – 46 55 39 42 63 54 55 61 52
Forecast – 58 48.40 53.68 41.94 41.99 58.80 54.96 54.99 59.80
Forecast error - -12 6.60 -14.68 0.06 21.01 -4.80 0.04 6.01 -7.80The mean square error is 107.17
The mean forecast for period 11 is 53.56
Based on the MSE, smoothing constant of .2 offers a better model since the mean forecast is much better compared to the 53.56 of the smoothing constant of 0.8.
You have to multiply the original price by 1/3 and then multiplying it by 2:
y=1/3x(2)
y=1/3(28.5)(2)
y=9.50(2)
y=19
$19.5
This is 2/3 of the original price (1/3 off).
Hope I helped...
Answer:
C
Step-by-step explanation:
Well, anything multiplied by zero is zero.
If you multiplied 0 by 143, you wouldn't get anything because you're not multiplying with another number that can be multiplied by.
Answer:
b=0
Step-by-step explanation:
4b-1=-4+4b+3
4b-4b=-4+3+1
b=0
Well this factor has to the answer b.) hope I helped.
