Answer Happy

3. [-/31 Points] - DETAILS ASWSBE14 17.E.004.MI.SA. MY NOTES ASK YOUR TEACHER This question has several parts that must be completed sequentially. If you skip a part of the question, you will not receive any points for the skioped part, and you will not be able to come back to the skipped part. Tutorial Exercise Consider the following time series data. Month 1 Value 1624 2025 21 20 25 (a) Compute MSE using the most recent value as the forecast for the next period. What is the forecast for month 87 ) . 8 (b) Compute MSE using the average of all the data available as the forecast for the next period. What is the forecast for month 3? (c) Which method appears to provide the better forecast? Step 1 (a) Compute MSE using the most recent value as the forecast for the next period. What is the forecast for month 8? The MSE, mean squared error, is a measure of forecast accuracy and is the average of the squared forecast errors. Before this can be found, we first need to find the forecast values, forecast error, and squared forecast errors. Forecasts will be made using the most recent values known. There will be no forecast for the first month. The forecast value for month 2 will be the observed value from month 1, so the forecast value for month 2 is value for month 3 will be the observed value from month 2, so the forecast value for month 3 is. This pattern will continue for the rest of the months. 3 The forecast Complete the column for the forecast value in the table below. Month Value Forecast Value 1 16 24 3 20 4 25 5 21 6 20 7 25 Find the forecast for month 8 using this pattem.