Local city government statistics show the rate of new driver’s license applications to be as follows: Month Week Applications Weekly Forecast May 1 338 2 299 3 315 4 312 June 1 307 2 310 3 305 4 Using weights 1/2, 1/3, and 1/6 (with maximum weight given to most recent past), make a weighted moving average forecasts through week 4 of June. Assuming that the forecast for third week of May is the average of the license applications during the first two weeks of May, use an exponential smoothing constant of 0.3, find the forecast weekly new driver’s license applications through week 4 of June. Which forecasting method is better? Why?
Local city government statistics show the rate of new driver’s license applications to be as follows: Month Week Applications Weekly Forecast May 1 338 2 299 3 315 4 312 June 1 307 2 310 3 305 4 Using weights 1/2, 1/3, and 1/6 (with maximum weight given to most recent past), make a weighted moving average forecasts through week 4 of June. Assuming that the forecast for third week of May is the average of the license applications during the first two weeks of May, use an exponential smoothing constant of 0.3, find the forecast weekly new driver’s license applications through week 4 of June. Which forecasting method is better? Why?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
- Local city government statistics show the rate of new driver’s license applications to be as follows:
Month |
Week |
Applications |
Weekly Forecast |
May |
1 |
338 |
|
|
2 |
299 |
|
|
3 |
315 |
|
|
4 |
312 |
|
June |
1 |
307 |
|
|
2 |
310 |
|
|
3 |
305 |
|
|
4 |
|
|
- Using weights 1/2, 1/3, and 1/6 (with maximum weight given to most recent past), make a weighted moving average forecasts through week 4 of June.
- Assuming that the forecast for third week of May is the average of the license applications during the first two weeks of May, use an exponential smoothing constant of 0.3, find the forecast weekly new driver’s license applications through week 4 of June.
- Which forecasting method is better? Why?
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