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BP1271 Positive correlation vs. negative correlation.
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COMMENTS

All examples in this Bongard Problem are scatter plots. Each dot represents a data point.

"Positive correlation" means that when the X value increases, the Y value tends to increase as well (in the long run), while "negative correlation" means that when the X value increases, the Y value tends to decrease.

CROSSREFS

Adjacent-numbered pages:

EXAMPLE

Example TM4854 does not fit on either side because when the X value increases, the Y value stays the same.

Example TM4855 does not fit on either side because there is no correlation.

AUTHOR

Ben

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