In: Statistics and Probability
Consider the following time series data.
Week | 1 | 2 | 3 | 4 | 5 | 6 |
Value | 20 | 15 | 18 | 14 | 18 | 15 |
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 July using a naive forecast is 15. The mean average deviation is MAD = 3.8, the mean square error is MSE = 15 and the mean average percentage error is MAPE = 24.16%
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