Correlation and dependence are two fundamental concepts in statistics.
A correlation is a measure of the degree to which two variables are associated, and a dependence is a relationship between variables where changing one variable (e.g., X) affects the value of another variable (e.g., Y) in a predictable way.
Correlations can be positive or negative, but almost always they are clustered around some value called the “correlation coefficient.
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