The sales of a new product from your company for the last 3 years are given in the data below. Use a multiple regression model to account for seasonal effects only in the data. Quarter Actual Sales Year 1 1 5 Year 1 2 2 Year 1 3 3 Year 1 4 5 Year 2 1 6 Year 2 2 3 Year 2 3 4 Year 2 4 7 Year 3 1 7 Year 3 2 4 Year 3 3 6 Year 3 4 8 1. What is the quarter 1 forecast for the next year(Keep 2 decimal points) 2. What is the quarter 2 forecast for the next year? (Keep 2 decimal points) 3.What is the quarter 3 and 4 forecast for the next year? (Keep 2 decimal points)
The sales of a new product from your company for the last 3 years are given in the data below. Use a multiple regression model to account for seasonal effects only in the data. Quarter Actual Sales Year 1 1 5 Year 1 2 2 Year 1 3 3 Year 1 4 5 Year 2 1 6 Year 2 2 3 Year 2 3 4 Year 2 4 7 Year 3 1 7 Year 3 2 4 Year 3 3 6 Year 3 4 8 1. What is the quarter 1 forecast for the next year(Keep 2 decimal points) 2. What is the quarter 2 forecast for the next year? (Keep 2 decimal points) 3.What is the quarter 3 and 4 forecast for the next year? (Keep 2 decimal points)
Chapter4: Linear Functions
Section4.3: Fitting Linear Models To Data
Problem 22SE: The U.S. Census tracks the percentage of persons 25 years or older who are college graduates. That...
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The sales of a new product from your company for the last 3 years are given in the data below.
Use a multiple regression model to account for seasonal effects only in the data.
| Quarter | Actual Sales | |
| Year 1 | 1 | 5 |
| Year 1 | 2 | 2 |
| Year 1 | 3 | 3 |
| Year 1 | 4 | 5 |
| Year 2 | 1 | 6 |
| Year 2 | 2 | 3 |
| Year 2 | 3 | 4 |
| Year 2 | 4 | 7 |
| Year 3 | 1 | 7 |
| Year 3 | 2 | 4 |
| Year 3 | 3 | 6 |
| Year 3 | 4 | 8 |
1. What is the quarter 1 forecast for the next year(Keep 2 decimal points)
2. What is the quarter 2 forecast for the next year? (Keep 2 decimal points)
3.What is the quarter 3 and 4 forecast for the next year? (Keep 2 decimal points)
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What do the Forecast for each year add up to?
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