1. A high-school administrator who is concerned about the amount of sleep the students in his district are getting selects a random sample of 14 seniors in his district and asks them how many hours of sleep they get on a typical school night. He then uses school records to determine the most recent grade-point average (GPA) for each student. His data and a computer regression output are given below. (remember to do ALL parts). (a) Do these data provide convincing evidence of a linear relationship between the hours of sleep students typically get and their academic performance, as measured by their GPA? Carry out a significance test at the α = 0.05 level. (b) Can we conclude from these data that students’ GPA will improve if they get more sleep? Explain

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
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Chapter9: Solving Quadratic Functions
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1. A high-school administrator who is concerned about the amount of sleep the students in his district are getting selects a random sample of 14 seniors in his district and asks them how many hours of sleep they get on a typical school night. He then uses school records to determine the
most recent grade-point average (GPA) for each student. His data and a computer regression output are given below. (remember to do ALL parts).

(a) Do these data provide convincing evidence of a linear relationship between the hours of sleep students typically get and their academic performance, as measured by their GPA? Carry out a significance test at the α = 0.05 level.

(b) Can we conclude from these data that students’ GPA will improve if they get more sleep? Explain

The table presents data on the number of hours of sleep and the corresponding GPA scores for a group of students:

| Sleep (hrs) | 9   | 8.5 | 9   | 7   | 7.5 | 6   | 7   | 8   | 5.5 | 6   | 8.5 | 6.5 | 8   | 8   |
|-------------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|
| GPA         | 3.8 | 3.3 | 3.5 | 3.6 | 3.4 | 3.3 | 3.2 | 3.2 | 3.2 | 3.4 | 3.6 | 3.1 | 3.4 | 3.7 |

**Explanation:**
- The first row indicates the amount of sleep in hours.
- The second row lists the GPA scores associated with each amount of sleep.
- This data can be used to explore potential correlations between sleep duration and academic performance as measured by GPA.
Transcribed Image Text:The table presents data on the number of hours of sleep and the corresponding GPA scores for a group of students: | Sleep (hrs) | 9 | 8.5 | 9 | 7 | 7.5 | 6 | 7 | 8 | 5.5 | 6 | 8.5 | 6.5 | 8 | 8 | |-------------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----| | GPA | 3.8 | 3.3 | 3.5 | 3.6 | 3.4 | 3.3 | 3.2 | 3.2 | 3.2 | 3.4 | 3.6 | 3.1 | 3.4 | 3.7 | **Explanation:** - The first row indicates the amount of sleep in hours. - The second row lists the GPA scores associated with each amount of sleep. - This data can be used to explore potential correlations between sleep duration and academic performance as measured by GPA.
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