Based on the data shown below, calculate the regression line (each value to one decimal place) = 0.571 X y 3 19.36 4 18.48 5 21.4 19.52 67 6 8 9 10 22.34 22.36 20.58 23.9 X +

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Based on the data shown below, calculate the regression line (each value to one decimal place).

\[
\hat{y} = 0.571x + \_\_\_\_
\]

| x  | y    |
|----|------|
| 3  | 19.36 |
| 4  | 18.48 |
| 5  | 21.4  |
| 6  | 19.52 |
| 7  | 22.34 |
| 8  | 22.36 |
| 9  | 20.58 |
| 10 | 23.9  |

To calculate the regression line, you need to determine the slope and the y-intercept of the best fit line for the data points provided. The partial regression equation is given, with the slope as 0.571. The next step is to compute the y-intercept by solving the regression equation using the values from the table.
Transcribed Image Text:Based on the data shown below, calculate the regression line (each value to one decimal place). \[ \hat{y} = 0.571x + \_\_\_\_ \] | x | y | |----|------| | 3 | 19.36 | | 4 | 18.48 | | 5 | 21.4 | | 6 | 19.52 | | 7 | 22.34 | | 8 | 22.36 | | 9 | 20.58 | | 10 | 23.9 | To calculate the regression line, you need to determine the slope and the y-intercept of the best fit line for the data points provided. The partial regression equation is given, with the slope as 0.571. The next step is to compute the y-intercept by solving the regression equation using the values from the table.
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