In: Statistics and Probability
The time series showing the sales of a particular product over
the past 12 months is contained in the Excel Online file below.
Construct a spreadsheet to answer the following
questions.
Use a=0.2 to compute the exponential smoothing forecasts for the time series (to 2 decimals).
Month |
Time-Series Value |
Forecast |
|---|---|---|
| 1 | 105 | |
| 2 | 130 | |
| 3 | 125 | |
| 4 | 100 | |
| 5 | 90 | |
| 6 | 120 | |
| 7 | 150 | |
| 8 | 135 | |
| 9 | 95 | |
| 10 | 75 | |
| 11 | 100 | |
| 12 | 105 | |
| 13 |
Use a smoothing constant of a=0.5 to compute the exponential smoothing forecasts (to 2 decimals).
Month |
Time-Series Value |
Forecast |
|---|---|---|
| 1 | 105 | |
| 2 | 130 | |
| 3 | 125 | |
| 4 | 100 | |
| 5 | 90 | |
| 6 | 120 | |
| 7 | 150 | |
| 8 | 135 | |
| 9 | 95 | |
| 10 | 75 | |
| 11 | 100 | |
| 12 | 105 | |
| 13 |
Compute MSE (to 2 decimals).
MSE ( a= 0.2 ) : (___)| Month | Time-Series Value |
| 1 | 105 |
| 2 | 130 |
| 3 | 125 |
| 4 | 100 |
| 5 | 90 |
| 6 | 120 |
| 7 | 150 |
| 8 | 135 |
| 9 | 95 |
| 10 | 75 |
| 11 | 100 |
| 12 | 105 |
| 13 |
Formula for exponential smoothing forecast

where
is the forecast demand for the time t
is the smoothing constant
is the actual value for time t-1
is called the damping factor
is the forecast value for the time t-1
We will now put the formula in Excel.
Formula for MSE (Mean Square Error)


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