Question
The demand for a product in year 2019 is displayed in the table. Month Demand (orders) January 66,753 February 67,686 March 68,641 April 68,979 May
The demand for a product in year 2019 is displayed in the table.
| Month | Demand (orders) |
| January | 66,753 |
| February | 67,686 |
| March | 68,641 |
| April | 68,979 |
| May | 69,278 |
| June | 69,577 |
| July | 69,602 |
| August | 70,348 |
| September | 70,806 |
| October | 71,011 |
| November | 71,819 |
| December | 72,752 |
- Use a simple moving average of three periods to forecast the demand for October-2019. What is the forecast?
- se exponential smoothing to forecast the demand for July-2019. What is the forecast if = 0.4 and the forecast for May was 69,000?
- Use the trend projection linear regression method to forecast the demand for February 2020. You need to find the slope and intercept of the fitted line. What is the forecast?
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Accounting A Systems Approach
Authors: Alison Warman, Jeff Davies
1st Edition
1861520379, 978-1861520371
