Question
The following figure shows a scatterplot. Which of the following statements are correct?
![](data:image/png;base64,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)
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The absolute value of the correlation coefficient is at least .
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The slope of the regression line is about .
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The standard deviation of is at least .
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For , can be expected to be about .
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The mean of is at most .
Solution
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False. No association between the variables is observed in the scatterplot. This implies a correlation coefficient close to .
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False. The slope of the regression line is given by and hence not about equal to .
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False. The standard deviation of is about equal to and is therefore smaller than .
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True. The regression line at implies a value of about .
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True. The mean of is about equal to and hence is smaller than .