A student at a junior college conducted a survey of 20 rando

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= -0.0567 x+2.9112

The predicted grade point average is______

Interpret the slope, for each additional hour that a student spends playing video game in a week, the grade-point average will

a) decrease

b) increase

by ______ points, on average

If appropriate, interpret the y-intercept

a) the grade point average of a student who does not play video games is 2.9112

b) The average number of video games played in a week by students is 2.9112

c) It cannot be interpreted without more information

A student who plays video games 7 hours per week has a grade point away of 2.39. Is the students grade point average above or below average among all students who play video games 7 hours per week?

Solution

y = -0.0569x + 2.9381

a) Plug in x = 8 :

y = -0.0569x + 2.9381

y = -0.0569(8) + 2.9381

y = 2.4829

y = 2.48 ---> ANSWER

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\"decrease\" by \"0.0569\" points

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When x = 0, y = 2.9381

x = 0 ---> student plays no video games
y = 2.9381 --> student who plays no video games during the week gets a GPA of 2.9381
Option B

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When x = 7, y = 2.43

Lets use the equation

when x = 7 :

y = -0.0569(7) + 2.9381

y = 2.5398

So, since 2.5398 > 2.43

\"The student\'s GPA is BELOW average ---> ANSWER