For the time series below, enter the 3-week moving average predictions (rounded to the nearest 0.01). Then calculate the error and MSE (careful to use unrounded figures for all calculations!).
Week | Time series | 3-MA | Error |
1 | 5 | ||
2 | 13 | ||
3 | 7 | ||
4 | 9 | ||
5 | 18 | ||
6 | 16 |
We have given siz week time series data.
For the time series below, enter the 3-week moving average predictions (rounded to the nearest 0.01). Then calculate the error and MSE.
3 week moving average is defined as,
average = average of three values.
Error = Observed - expected
MSE is the mean squared error.
We can do moving average method in MINITAB.
steps :
ENTER data into MINITAB sheet --> Stat --> Time series --> Moving average --> Variables : select data --> MA length : 3 --> Storage : residual --> ok --> ok
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Moving Average for time series
Data time series
Length 6
NMissing 0
Moving Average
Length 3
Accuracy Measures
MAPE 27.6235
MAD 4.5556
MSD 30.5556
week | time series | ma | residual |
1 | 5 | ||
2 | 13 | 8.333333 | |
3 | 7 | 9.666667 | |
4 | 9 | 11.33333 | 0.6667 |
5 | 18 | 14.33333 | 8.3333 |
6 | 16 | 4.6667 |
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