Sometimes you want to display information about the relationship involving two different phenomena. For example, suppose you collected data about the number of days that law school candidates studied for a state bar examination and their resulting scores on the exam. The data from eight candidates is shown in Table
1 .
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TABLE 1
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Law School Candidates' Prep Times and Test Scores
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Candidate #
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1
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2
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3
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4
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5
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6
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7
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8
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Days studied
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7
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9
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5
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1
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8
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4
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3
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6
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Score earned
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23
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25
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14
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5
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22
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15
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11
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17
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One dot would then be plotted for each examinee, giving a total of only 8 dots, yet displaying 16 pieces of numerical information. For example, candidate #1 studied for 7 days and received a score of 23. Candidate #1's dot would be plotted at a vertical of 23 and a horizontal of 7 (see Figure
1 ).
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Figure 1
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A representative point of data on a scatter plot.
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A completed scatter plot would look like Figure
2 .
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Figure 2
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A scatter plot displaying the relationship between preparation time and test score.
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There is a strong
positive relationship between the number of days studied and the score on the bar exam; that is, the data displayed indicates that an increase in days studied for the exam correlates with an increase in score achieved. A
negative relationship would be indicated if the dots suggest a line going down from left to right, meaning that as one variable increases, the other decreases. And no relationship would be indicated if the scatter plot dots suggest a completely horizontal line, a completely vertical line, or no line at all (see Figure
3 ).
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Figure 3
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Scatter plots which display no relationship between the variables plotted.
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