Question

A student at a junior college conducted a survey of 20 randomly selected full-time students to determine the relation between the number of hours of video game playing each week, x, and grade-point average, y. She found that a linear relation exists between the two variables. The least-squares regression line that describes this relation is y = - 0.0576x + 2.9148. (a) Predict the grade-point average of a student who plays video games 8 hours per week. The predicted grade-point average is . (Round to the nearest hundredth as needed.) (b) Interpret the slope. For each additional hour that a student spends playing video games in a week, the grade-point average will [ ] by [ ] points, on average. (c) If appropriate, interpret the y-intercept. A. The average number of video games played in a week by students is 2.9148. B. The grade-point average of a student who does not play video games is 2.9148. C. It cannot be interpreted without more information. (d) A student who plays video games 7 hours per week has a grade-point average of 2.63. Is the student's grade-point average above or below average among all students who play video games 7 hours per week? The student's grade-point average is [ ] average for those who play video games 7 hours per week.

          A student at a junior college conducted a survey of 20 randomly selected full-time students to determine the relation between the number of hours of video game playing each week, x, and grade-point average, y. She found that a linear relation exists between the two variables. The least-squares regression line that describes this relation is y = - 0.0576x + 2.9148.

(a) Predict the grade-point average of a student who plays video games 8 hours per week.
The predicted grade-point average is .
(Round to the nearest hundredth as needed.)

(b) Interpret the slope.
For each additional hour that a student spends playing video games in a week, the grade-point average will [ ] by [ ] points, on average.

(c) If appropriate, interpret the y-intercept.

A. The average number of video games played in a week by students is 2.9148.
B. The grade-point average of a student who does not play video games is 2.9148.
C. It cannot be interpreted without more information.

(d) A student who plays video games 7 hours per week has a grade-point average of 2.63. Is the student's grade-point average above or below average among all students who play video games 7 hours per week?
The student's grade-point average is [ ] average for those who play video games 7 hours per week.

A student at a junior college conducted a survey of 20 randomly selected full-time students to determine the relation between the number of hours of video game playing each week, x, and grade-point average, y. She found that a linear relation exists between the two variables. The least-squares regression line that describes this relation is y = - 0.0576x + 2.9148.

(a) Predict the grade-point average of a student who plays video games 8 hours per week.
The predicted grade-point average is .
(Round to the nearest hundredth as needed.)

(b) Interpret the slope.
For each additional hour that a student spends playing video games in a week, the grade-point average will [ ] by [ ] points, on average.

(c) If appropriate, interpret the y-intercept.

A. The average number of video games played in a week by students is 2.9148.
B. The grade-point average of a student who does not play video games is 2.9148.
C. It cannot be interpreted without more information.

(d) A student who plays video games 7 hours per week has a grade-point average of 2.63. Is the student's grade-point average above or below average among all students who play video games 7 hours per week?
The student's grade-point average is [ ] average for those who play video games 7 hours per week.

Added by Alejandro F.

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