1) The following data show the results of a study based on the number of hours college students spend playing video games and their GPAs: Number of Hours Playing Video Games (per week)= 42 GPA= 0.2 Number of Hours Playing Video Games (per week)= 38 GPA= 0.9 Number of Hours Playing Video Games (per week) = 32 GPA= 1.0 Number of Hours Playing Video Games (per week) = 26 GPA = 1.1 Number of Hours Playing Video Games (per week) = 23 GPA= 1.2 Number of Hours Playing Video Games (per week) = 19 GPA= 2.5 Number of Hours Playing Video Games (per week) = 15 GPA = 3.0 a) Create a scatter plot and be sure to LABEL BOTH axis and give the chart an overall name. Have the graph display the “r-value” and the correct equation. b) What kind of correlation is this? c) Is this more of a linear or exponential model? Why?
1) The following data show the results of a study based on the number of hours college students spend playing video games and their GPAs:
Number of Hours Playing Video Games
(per week)= 42 GPA= 0.2
Number of Hours Playing Video Games
(per week)= 38 GPA= 0.9
Number of Hours Playing Video Games
(per week) = 32 GPA= 1.0
Number of Hours Playing Video Games
(per week) = 26 GPA = 1.1
Number of Hours Playing Video Games
(per week) = 23 GPA= 1.2
Number of Hours Playing Video Games
(per week) = 19 GPA= 2.5
Number of Hours Playing Video Games
(per week) = 15 GPA = 3.0
a) Create a scatter plot and be sure to LABEL BOTH axis and give the chart an overall name. Have the graph display the “r-value” and the correct equation.
b) What kind of
c) Is this more of a linear or exponential model? Why?
d) Predict the standard GPA if a student spends one hour a week playing video
games.
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