After plotting demand for four periods, an emergency room
manager has concluded that a trend-adjusted exponential smoothing
model is appropriate to predict future demand. The initial estimate
of trend is based on the net change of 23 for the three
periods from 1 to 4, for an average of +7.67 units.
Period | Actual | Period | Actual |
1 | 208 | 6 | 261 |
2 | 231 | 7 | 276 |
3 | 226 | 8 | 286 |
4 | 231 | 9 | 291 |
5 | 251 | 10 | |
Use α=.60 and β=.15, and TAF of 255 for period 5. Obtain forecasts
for periods 6 through 10. (Round your intermediate calculations and
final answers to 2 decimal places.)
t Period | TAFt |
6 | |
7 | |
8 | |
9 | |
10 | |
This is my second time posting this and I need help anyone out there
from given data:
smoothed forecast St =TAFt+α*(At-TAFt) | |||
smoothed trend Tt =Tt-1+β(TAFt-TAFt-1-Tt-1) |
Period | actual | St | Tt | Forecast(TAF) |
1 | 208 | |||
2 | 231 | |||
3 | 226 | |||
4 | 231 | 0 | ||
5 | 251 | 255.00 | ||
6 | 261 | 252.60 | 7.67 | 260.27 |
7 | 276 | 260.71 | 7.31 | 268.02 |
8 | 286 | 272.81 | 7.38 | 280.18 |
9 | 291 | 283.67 | 8.09 | 291.77 |
10 | 291.31 | 8.62 | 299.92 | |
11 |
from above:
t | TAF |
6 | 260.27 |
7 | 268.02 |
8 | 280.18 |
9 | 291.77 |
10 | 299.92 |
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