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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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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.)](https://content.bartleby.com/qna-images/question/05b86979-fadc-4733-a28c-c1e373e1d90f/c73bbdf7-0e95-4112-9fbf-2ddb550a6b65/ph6zz7j_thumbnail.png)
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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