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Q - 8 -
The forecast of sales is $4,391 million for the first quarter of 2002 and $4,738 million for the second quarter of 2002, as the following table shows.
| Date | Sales ($ Millions) |
Log of Sales | Actual Values of Changes in the Log of Sales Δln (Salest) |
Forecast Values of Changes in the Log of Sales Δln (Salest) |
|---|---|---|---|---|
| 1Q:2001 | 6,519 | 8.7825 | 0.1308 | |
| 2Q:2001 | 6,748 | 8.8170 | 0.0345 | |
| 3Q:2001 | 4,728 | 8.4613 | –0.3557 | |
| 4Q:2001 | 4,298 | 8.3659 | –0.0954 | |
| 1Q:2002 | 4,391 | 8.3872 | 0.0213 | |
| 2Q:2002 | 4,738 | 8.4633 | 0.0761 | |
We find the forecasted change in the log of sales for the first quarter of 2002 by inputting the value for the change in the log of sales from the previous quarter into the equation Δln (Salest) = 0.0661 + 0.4698Δln (Salest–1). Specifically, Δln (Salest) = 0.0661 + 0.4698(–0.0954) = 0.0213, which means that we forecast the log of sales in the first quarter of 2002 to be 8.3659 + 0.0213 = 8.3872.
Next, we forecast the change in the log of sales for the second quarter of 2002 as Δln (Salest) = 0.0661 + 0.4698(0.0213) = 0.0761. Note that we have to use our first-quarter 2002 estimated value of the change in the log of sales as our input for Δln (Salest–1) because we are forecasting past the period for which we have actual data.
With a forecasted change of 0.0761, we forecast the log of sales in the second quarter of 2002 to be 8.3872 + 0.0761 = 8.4633.
We have forecasted the log of sales in the first and second quarters of 2002 to be 8.3872 and 8.4633, respectively. Finally, we take the antilog of our estimates of the log of sales in the first and second quarters of 2002 to get our estimates of the level of sales: e8.3872 = 4,391 and e8.4633 = 4,738, respectively, for sales of $4,391 million and $4,738 million.
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#rahulsingh6292 Please help me with this problem. I want a detailed solution. Please answer only ...
#rahulsingh6292 Please help me with this problem.... I
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