Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: DEMAND (UNITS) 4,000 4,100 3,800 4,200 4,850 4,500 5,150 4,750 5,250 5,550 6,150 5,850 MONTH January February March April May June July August September October November December a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.) Month Forecast January February March April May June July August September October November December

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**Question:**

b. To be reasonably confident of meeting demand, Nina decides to use 2 standard errors of estimate for safety. How many additional units should be held to meet this level of confidence? (Do not round intermediate calculations. Round your answer to the nearest whole number.)

**Input Box Label:**

Additional units
Transcribed Image Text:**Question:** b. To be reasonably confident of meeting demand, Nina decides to use 2 standard errors of estimate for safety. How many additional units should be held to meet this level of confidence? (Do not round intermediate calculations. Round your answer to the nearest whole number.) **Input Box Label:** Additional units
**Problem 18-14 (Algo)**

Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows:

| MONTH      | DEMAND (UNITS) |
|------------|----------------|
| January    | 4,000          |
| February   | 4,100          |
| March      | 3,800          |
| April      | 4,200          |
| May        | 4,850          |
| June       | 4,500          |
| July       | 5,150          |
| August     | 4,750          |
| September  | 5,250          |
| October    | 5,550          |
| November   | 6,150          |
| December   | 5,850          |

**a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.)**

| Month      | Forecast       |
|------------|----------------|
| January    |                |
| February   |                |
| March      |                |
| April      |                |
| May        |                |
| June       |                |
| July       |                |
| August     |                |
| September  |                |
| October    |                |
| November   |                |
| December   |                |

**Explanation of a Table:**

- **Upper Table:** Shows the past year's demand for each month in units. This table is essential for analyzing trends and making future forecasts based on historical data.

- **Lower Table:** Empty table intended for entering forecasted demand for each month of the upcoming year using linear regression analysis. The calculations should be rounded to two decimal places, providing precise demand estimations.
Transcribed Image Text:**Problem 18-14 (Algo)** Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: | MONTH | DEMAND (UNITS) | |------------|----------------| | January | 4,000 | | February | 4,100 | | March | 3,800 | | April | 4,200 | | May | 4,850 | | June | 4,500 | | July | 5,150 | | August | 4,750 | | September | 5,250 | | October | 5,550 | | November | 6,150 | | December | 5,850 | **a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.)** | Month | Forecast | |------------|----------------| | January | | | February | | | March | | | April | | | May | | | June | | | July | | | August | | | September | | | October | | | November | | | December | | **Explanation of a Table:** - **Upper Table:** Shows the past year's demand for each month in units. This table is essential for analyzing trends and making future forecasts based on historical data. - **Lower Table:** Empty table intended for entering forecasted demand for each month of the upcoming year using linear regression analysis. The calculations should be rounded to two decimal places, providing precise demand estimations.
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