The following are sales revenues for a large utility company for years 1 through 11. Forecast revenue for years 12 through 15. Because we are forecasting four years into the future, you will need to use linear regression as your forecasting method. (Enter your answers In mlons.) YEAR REVENJE (MILLIONS) $4,875.0 5,865.7 5,523.4 5,729.9 5,5ee.9 5,198.0 $5,097.2 5,112.3 5,553.8 5,734.4 5,863.5 2 3 10 11 Period Forecast 12 13 14 15

Practical Management Science
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ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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**Problem 3-31 (Algo)**

The following are sales revenues for a large utility company for years 1 through 11. Forecast revenue for years 12 through 15. Because we are forecasting four years into the future, you will need to use linear regression as your forecasting method. (Enter your answers in millions.)

| Year | Revenue (Millions) |
|------|---------------------|
| 1    | $4,875.9            |
| 2    | 5,065.7             |
| 3    | 5,523.4             |
| 4    | 5,729.9             |
| 5    | 5,508.9             |
| 6    | 5,198.0             |
| 7    | 5,997.2             |
| 8    | 5,112.3             |
| 9    | 5,553.8             |
| 10   | 5,734.4             |
| 11   | 5,863.5             |

| Period | Forecast |
|--------|----------|
| 12     |          |
| 13     |          |
| 14     |          |
| 15     |          |

**Explanation:**
This table displays yearly sales revenues (in millions) for a utility company over the span of eleven years. The task is to apply linear regression to predict the revenues for the subsequent four years, given the past data.
Transcribed Image Text:**Problem 3-31 (Algo)** The following are sales revenues for a large utility company for years 1 through 11. Forecast revenue for years 12 through 15. Because we are forecasting four years into the future, you will need to use linear regression as your forecasting method. (Enter your answers in millions.) | Year | Revenue (Millions) | |------|---------------------| | 1 | $4,875.9 | | 2 | 5,065.7 | | 3 | 5,523.4 | | 4 | 5,729.9 | | 5 | 5,508.9 | | 6 | 5,198.0 | | 7 | 5,997.2 | | 8 | 5,112.3 | | 9 | 5,553.8 | | 10 | 5,734.4 | | 11 | 5,863.5 | | Period | Forecast | |--------|----------| | 12 | | | 13 | | | 14 | | | 15 | | **Explanation:** This table displays yearly sales revenues (in millions) for a utility company over the span of eleven years. The task is to apply linear regression to predict the revenues for the subsequent four years, given the past data.
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