add text "An example of positive correlation would be the relationship between people's height and weight: taller people tend to be heavier. If we look at the average data for a large group of people, as height increases so does weight." (#21328)
add text "An example of positive correlation would be the relationship between people's height and weight: taller people tend to be heavier. If we look at the average data for a large group of people, as height increases so does weight."
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@ -7,6 +7,7 @@ The correlation means how much one thing changes with another.
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If there is a positive correlation between A and B, then as A increases, B increases.
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If there is a positive correlation between A and B, then as A increases, B increases.
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If there is a negative correlation, then as A increases, B decreases (or the other way around).
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If there is a negative correlation, then as A increases, B decreases (or the other way around).
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If there is no correlation, then A does not affect B and vice versa.
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If there is no correlation, then A does not affect B and vice versa.
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An example of positive correlation would be the relationship between people's height and weight: taller people tend to be heavier. If we take the average data for a large group of people, as height increases so does weight.
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