Relationship between study time and score and a negative The more you study, theīetter your score would be. Linear relationship between study time and score. No matter how you drawĪ line, these dots don't seem to form a trend. They got A minus or a B plus on the exam. Someone with a size 10Īnd 1/2, it looks like, someone it looks like You see the shoe sizes,įor a given shoe size, some people do not so wellĪnd some people do very well. Seem like there's really much of a relationship. That you spend studying, the better scoreĪmount of time studying, some people might doīetter than others, but it does seem like Positive linear relationship right over here. Left right over here, it looks like there is a So first, before lookingĪt the explanations, let's look at the actual graphs. Shows the relationship between test gradesĪxis and then test grade. Relationship between test grades and the amount of time The second graph is not linear at all, so this is not true. Both graphs show positive linear trends of approximately equal strength. The y-values of the first chart are generally increasing, while the values of the second plot do not follow a line.Ĥ. There is a positive linear relationship between study time and score and no relationship between shoe size and score. The first graph is linear, while the second plot is not linear at all. There is a nonlinear relationship between study time and score and a negative linear relationship between shoe size and score. Since this is the opposite of what's happening with the first graph, this is not the answer.Ģ. There's a negative linear relation between the study time and score, and a positive linear relationship between shoe size and score.Ī negative linear relation is one where the y-values of the dots are generally decreasing as x increases. Here are the possible answers and why they or why they don't work:ġ. In the problem, two graphs are shown: one showing the relationship between study time and grades (the first graph), the other showing the relationship between shoe size and grades (the second graph).
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