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Question

Professor Grant Alexander wanted to find a linear model that relates the number of hours a student plays video games each week, h, to the cumulative grade-point average, G, of the student. He obtained a random sample of 10 full-time students at his college and asked each student to disclose the number of hours spent playing video games and the student’s cumulative grade-point average.

Hours ofGrade-PointVideo GamesAverage, Gper Week, h 03.4903.0523.2432.8233.1952.7882.3182.54102.03122.51\begin{matrix} \text{Hours of} & \text{Grade-Point}\\ \text{Video Games} & \text{Average, G}\\ \text{per Week, h} & \text{ }\\ \text{0} & \text{3.49}\\ \text{0} & \text{3.05}\\ \text{2} & \text{3.24}\\ \text{3} & \text{2.82}\\ \text{3} & \text{3.19}\\ \text{5} & \text{2.78}\\ \text{8} & \text{2.31}\\ \text{8} & \text{2.54}\\ \text{10} & \text{2.03}\\ \text{12} & \text{2.51}\\ \end{matrix}

Predict the grade-point average of a student who plays video games for 8 hours each week.

Solution

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Answered 2 years ago
Answered 2 years ago
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The goal of this task is to predict the grade - point average of a student who plays video games for 88 hours each week. The function of the model is given by:

f(h)=0.1h+3.3f(h)=-0.1h+3.3

hh - hours spent on playing video games

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