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9 Cards in this Set
- Front
- Back
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Scatterplots |
shows the relationship between two quantitative variables measured on the same cases. |
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Positive Association/Direction |
As one variable increases, the other variable increases as well |
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Negative Association/Direction |
As one variable decreases, the other variable increases |
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Form |
Patterns you see in a scatterplot, such as being straight. |
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Strength |
When there is little scatter around the underlying relationship. |
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Correlation |
A numerical measure of the direction and strength of a linear association. |
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Outlier |
A point that does not fit the overall pattern seen in the scatterplot. |
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Lurking variable |
A variable other than x and y that simultaneously affects both variables, accounting for the correlation between the two |
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Explanatory variable, Response variable, x-variable, y-variable |
In a scatterplot, you must choose a role for each variable. Assign to the y-axis the response variable that you hope to predict or explain. Assign to the x-axis the explanatory or predictor variable that accounts for, explains, predicts, or is otherwise responsible for the y-variable. |
