Positive and negative correlations explain how two variables change in relation to each other.
Positive correlation refers to a trend where two variables change in the same direction, either both becoming larger or smaller. For example, the correlation between education and income or age and mathematical abilities in children.
Negative correlation indicates a trend where two variables move in opposite directions. When one variable decreases, the other increases, and vice versa.
Correlation measures how closely two variables are related. If they increase together, it's a positive correlation; if one increases when the other decreases, it's negative correlation.
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