In: Statistics and Probability
The quarterly sales data (number of copies sold) for a college textbook over the past three years follow.
Click on the datafile logo to reference the data.
quarter year 1 year 2 year 3
1 1690 1800 1850
2 940 900 1100
3 2625 2900 2930
4 2500 2360 2615
e. Deseasonalize the time series (to 3 decimals).
| Year | Quarter | Deseasonalized Value |
| 1 | 1 | |
| 2 | ||
| 3 | ||
| 4 | ||
| 2 | 1 | |
| 2 | ||
| 3 | ||
| 4 | ||
| 3 | 1 | |
| 2 | ||
| 3 | ||
| 4 |
f. Compute the linear trend equation for the
deseasonalized data (to 1 decimal if necessary).
Deseasonalized Value =____ +____ Period
Compute the forecast sales using the linear trend equation (to 1 decimal).
| Forecast for quarter 1 | |
| Forecast for quarter 2 | |
| Forecast for quarter 3 | |
| Forecast for quarter 4 |
g. Adjust the linear trend forecasts using the adjusted seasonal indexes computed in part (c) (to the nearest whole number).
| Forecast for quarter 1 | |
| Forecast for quarter 2 | |
| Forecast for quarter 3 | |
| Forecast for quarter 4 |
(e)
The following table shows the calculations:


(f)
Using Excel, obtain the estimated regression equation:
Deseasonalized Value = 1851 + 25.1t
Input data:

The Excel Output

Quarter1: Forecast 1851 +25.1(13) = 2178.105
Quarter2: Forecast 1851 +25.1(14) =2203.272
Quarter3: Forecast 1851 + 25.1(15)=2228.440
Quarter4: Forecast 1851 +25.1(16) =2253.608
(g)
The following table shows the calculations:
