A student at a junior college conducted a survey of 20 randomly selected full-time students to determine the relation be

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A student at a junior college conducted a survey of 20 randomly selected full-time students to determine the relation be

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A Student At A Junior College Conducted A Survey Of 20 Randomly Selected Full Time Students To Determine The Relation Be 1
A Student At A Junior College Conducted A Survey Of 20 Randomly Selected Full Time Students To Determine The Relation Be 1 (135.12 KiB) Viewed 130 times
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 = -0.0507x + 2.9344. (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 (c) If appropriate, interpret the y-intercept. A. The grade-point average of a student who does not play video games is 2.9344. B. The average number of video games played in a week by students is 2.9344. 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 2.69. 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. by decrease increase points, on average.
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 = -0.0507x+2.9344. (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 (c) If appropriate, interpret the y-intercept. A. The grade-point average of a student who does not play video games is 2.9344. B. The average number of video games played in a week by students is 2.9344. 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 2.69. 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. below above by points, on average.
Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axis are the same for each scatter diagram. (a) r=0.787, (b) r= 1, (c) r = 0.946 (a) Scatter diagram (b) Scatter diagram (c) Scatter diagram I ||| || C E Response Response Response Explanatory Explanatory Explanatory
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