In: Operations Management
Daily high temperatures in St. Louis for the last week were as follows:
92
94,
93
95
97
90
93
(yesterday).
a) The high temperature for today using a 3-day moving average =
degrees (round your response to one decimal place).
b) The high temperature for today using a 2-day moving average =
degrees (round your response to one decimal place).
c) The mean absolute deviation based on a 2-day moving average =
nothing
degrees (round your response to one decimal place).
d) The mean squared error for the 2-day moving average =
nothing
degrees squareddegrees2
(round your response to one decimal place).
e) The mean absolute percent error (MAPE) for the 2-day moving average =
nothing%
(round your response to one decimal
place).
1. FORECAST = SUM(PREVIOUS DEMAND) / N
N VALUE = 3
FORECAST 8 = (97 + 90 + 93) / 3 = 93.33
2. FOR N = 2
FORECAST = SUM(PREVIOUS DEMAND) / N
N VALUE = 2
FORECAST 3 = (92 + 94) / 2 = 93
FORECAST 4 = (94 + 93) / 2 = 93.5
FORECAST 5 = (93 + 95) / 2 = 94
FORECAST 6 = (95 + 97) / 2 = 96
FORECAST 7 = (97 + 90) / 2 = 93.5
FORECAST 8 = (90 + 93) / 2 = 91.5
FORECAST ERROR
| 
 PERIOD  | 
 ACTUAL DEMAND  | 
 FORECAST  | 
 DEVIATION(D - F)  | 
 ABS DEVIATION  | 
 (ABS DEV / DEMAND) * 100  | 
 DEVIATION ^2  | 
| 
 1  | 
 92  | 
|||||
| 
 2  | 
 94  | 
|||||
| 
 3  | 
 93  | 
 93  | 
 0  | 
 0  | 
 0  | 
 0  | 
| 
 4  | 
 95  | 
 93.5  | 
 1.5  | 
 1.5  | 
 1.58  | 
 2.25  | 
| 
 5  | 
 97  | 
 94  | 
 3  | 
 3  | 
 3.09  | 
 9  | 
| 
 6  | 
 90  | 
 96  | 
 -6  | 
 6  | 
 6.67  | 
 36  | 
| 
 7  | 
 93  | 
 93.5  | 
 -0.5  | 
 0.5  | 
 0.54  | 
 0.25  | 
| 
 SIGMA  | 
 -2  | 
 11  | 
 11.88  | 
 47.5  | 
MAD = SUM(ABS ERROR) / N, N = 5
MAD = 11 / 5 = 2.2
MSE = SUM((DEMAND - FORECAST)^2) / N, N = 5
MSE = 47.5 / 5 = 9.5
MAPE = SUM((ABSOLUTE DEVIATION / ACTUAL DEMAND) * 100) / N, N = 5
MAPE = 11.88 / 5 = 2.38
**ALL INTERMEDIATE CALCULATIONS ROUNDED TO 2 DECIMAL PLACES. LET ME KNOW IF YOU FACE ANY PROBLEMS.
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