Question: Using the time series data in the table, respond to the following items. Period Sales 1 1,005 2 1,129 3 841 4 1,044 5 1,012
Using the time series data in the table, respond to the following items.
| Period | Sales |
| 1 | 1,005 |
| 2 | 1,129 |
| 3 | 841 |
| 4 | 1,044 |
| 5 | 1,012 |
| 6 | 703 |
| 7 | 682 |
| 8 | 712 |
| 9 | 646 |
| 10 | 686 |
| 11 | 909 |
| 12 | 469 |
| 13 | 566 |
| 14 | 488 |
| 15 | 688 |
| 16 | 675 |
| 17 | 303 |
| 18 | 381 |
d-1. Compute all possible forecasts using a trend forecasting model using simple linear regression? (Round your answers to 2 decimal places.)
| Period | Sales | Predicted Sales | Absolute Error |
| 1 | 1,005 | ||
| 2 | 1,129 | ||
| 3 | 841 | ||
| 4 | 1,044 | ||
| 5 | 1,012 | ||
| 6 | 703 | ||
| 7 | 682 | ||
| 8 | 712 | ||
| 9 | 646 | ||
| 10 | 686 | ||
| 11 | 909 | ||
| 12 | 469 | ||
| 13 | 566 | ||
| 14 | 488 | ||
| 15 | 688 | ||
| 16 | 675 | ||
| 17 | 303 | ||
| 18 | 381 |
d-2. What is the MAD? (Round your answer to 2 decimal places.) MAD = ___ .
d-3. What is the trend equation based on the regression analysis? (Round your answers to 2 decimal places.) Sales = ___ - ___ time period.
e. What is the predicted annual change of industry sales? (Round your answer to 2 decimal places.) Predicted annual change of industry sales ___ .
f. Predict sales for the next three periods. (Round your answers to 2 decimal places.)
| Predicted Sales | |
| Sales (19) | |
| Sales (20) | |
| Sales (21) |
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