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The scatter plot shows the test scores of a group of students who played games online for different amounts of time in a day: A scatter plot is shown. The x-axis is labeled Hours spent playing games online. The y-axis is labeled Test scores. Data points are located at 0.1 and 99, 0.5 and 97, 0.7 and 89, 1.5 and 85, 2 and 75, 2.5 and 70, 2.75 and 78, 3.2 and 62, 3.5 and 52, 3.6 and 75, 4.2 and 52, 5.6 and 40, 6 and 75, 7.2 and 38, 8 and 33. What will most likely be the effect on the test scores of students if the number of hours they play games online increases? Test scores will decrease because the graph shows a negative association. Test scores will increase because the graph shows a positive association. Test scores will increase because the graph shows a negative association. Test scores will decrease because the graph shows a positive association.
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@Jadedry PLEASE HELP
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As you can see, the dots go further down the y-axis. (test score) as it moves along the x-axis (game time increases.) This is the trend, although there is one data point that does not lie on the "trend line." Ignore it. Taken from: http://www.ics.uci.edu/~jutts/8/Lecture5Compact.pdf ""Two variables have a positive association when the values of one variable tend to increase as the values of the other variable increase. • Two variables have a negative association when the values of one variable tend to decrease as the values of the other variable increase."" If value on the Y-axis decreases (test score) as value on the x-axis (game time) increases, what would you expect if students spent longer hours playing games? Is the association positive or negative?
@Jadedry SO ITS b right ?
@Jadedry come i need you to finish helping me with question
Not b, test scores will not increase. Try again!
oh wait i ment C sorry
Not C either. Again, test scores will /not/ increase with game time, they will decrease. showing a negative association.
oh so then its A
@Jadedry its A then right?
Yup!
ty can you help me with 4 more questions
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