Answer:
i think it a and c
Step-by-step explanation:
if i'm wrong sorry bout that i was just trynna help.since ur giving away ur last points u can go to my account and anwer my questions u dont have to give me the right answer or anything i promise i wont report u just do that and you can get mote points :)
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.
Answer:
32
Step-by-step explanation:
Multiply both sides by 8.
y/8 = 4
y/8 × 8 = 4 × 8
y = 32
Step-by-step explanation:
2 2/3
=><em>If</em> 8/3 = 1/6
x =1
1/6x = 8/3 ( Divide both sides by <em>1</em><em>/</em><em>6</em><em> </em>)
___ ___
1/6 1/6
(By cross-multiplying the numerators and denominators)
=> 1×6 8×6
___ x = ___
6×1 3×1
Cancelling out , we have
x = 8×2
____ = 8×2 = 16
1 × 1
<em>The</em><em> </em><em>final</em><em> </em><em>answer</em><em> </em><em>becomes</em><em> </em><em>1</em><em>6</em>
<em>Hope</em><em> </em><em>it</em><em> </em><em>helps</em><em>.</em>
Answer:
14/125
Step-by-step explanation:
56 % ÷ 5 days ie 11.2% per day ie 112/1000 or 14/125
