Question: Given the data, what is the average forecast error (i.e., mean bias) if you use an exponential smoothing technique to complete the forecast table? In
Given the data, what is the average forecast error (i.e., mean bias) if you use an exponential smoothing technique to complete the forecast table? In this case, the alpha value is 0.60 and your January forecast was 3200 units.
| Month | Sales ($) |
| January | 3,000 |
| February | 3,400 |
| March | 3,700 |
| April | 4,100 |
| May | 4,700 |
| June | 5,700 |
| July | 6,300 |
| August | 7,200 |
| September | 6,400 |
| October | 4,600 |
| November | 4,200 |
| December | 3,900
|
Using the same data as in Question 7, what is the mean absolute deviation (MAD) for the data using the exponential smoothing method?
Using the same data as in Question 7, what is the mean absolute percent error (MAPE) for the data using the exponential smoothing method? For this case, enter your percentage as a whole number (e.g., 12 as opposed to 12% or 0.12)?
Given all three forecasting methods, which performed the best?
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