The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below. No. of absences, x 5 6 7 0 1 2 3 4 8 9 87.7 84.8 81.9 79.4 76.4 72.0 62.0 66.9 64.0 61.1 Final grade, y ← (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the response variable. (Round to three decimal places as needed.)

MATLAB: An Introduction with Applications
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(a)

 

The data below represent the number of days absent, \( x \), and the final grade, \( y \), for a sample of college students at a large university. Complete parts (a) through (e) below:

| No. of absences, \( x \) | 0  | 1  | 2  | 3  | 4  | 5  | 6  | 7  | 8  | 9  |
|--------------------------|----|----|----|----|----|----|----|----|----|----|
| Final grade, \( y \)     | 87.7 | 84.8 | 81.9 | 79.4 | 76.4 | 72.0 | 62.0 | 66.9 | 64.0 | 61.1 |

(a) Find the least-squares regression line treating the number of absences, \( x \), as the explanatory variable and the final grade, \( y \), as the response variable.

\[ \hat{y} = \square x + \text{( )} \]

(Round to three decimal places as needed.)
Transcribed Image Text:The data below represent the number of days absent, \( x \), and the final grade, \( y \), for a sample of college students at a large university. Complete parts (a) through (e) below: | No. of absences, \( x \) | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |--------------------------|----|----|----|----|----|----|----|----|----|----| | Final grade, \( y \) | 87.7 | 84.8 | 81.9 | 79.4 | 76.4 | 72.0 | 62.0 | 66.9 | 64.0 | 61.1 | (a) Find the least-squares regression line treating the number of absences, \( x \), as the explanatory variable and the final grade, \( y \), as the response variable. \[ \hat{y} = \square x + \text{( )} \] (Round to three decimal places as needed.)
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