In: Statistics and Probability
Consider the following time series data.
Week | 1 | 2 | 3 | 4 | 5 | 6 |
Value | 18 | 13 | 16 | 11 | 17 | 14 |
Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy.
a. Mean absolute error (to 1 decimal).
b.Mean squared error (to 1 decimal).
c. Mean absolute percentage error (to 2 decimals).
d. What is the forecast for week 7 (to 2 decimals)?
Therefore, we have that for the given time series data, the forecast for 7 using a naive forecast is 14. The mean average deviation is Mean absolute error = 4.4, the mean square error is MSE = 20.8 and the mean average percentage error is MAPE = 31.88%
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