Consider the following time series data.
Month | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
Value | 22 | 14 | 20 | 11 | 20 | 22 | 14 |
Round your answers to two decimal places.
a. Compute MSE using the most recent value as the forecast for the next period.
Mean squared error is
What is the forecast for month 8?
b. Compute MSE using the average of all data available as the forecast for the next period.
Mean squared error is
What is the forecast for month 8 ?
c. Which method appears to provide the better forecast?
- Select your answer -The average of all data available The most recent value
a) recent value as forecast = naive forecast
Mean squared error = Mean (squared error) = 55
Forecast for month 8 = 14
b) Average of all data available as forecast = average of all values before that particular week
Mean squared error = Mean (squared error) =29.3102
Forecast for month 8 = 17.57
Average of all data available is best method for forecast because it has less MSE
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