Negative covariance is a statistical measure that indicates the extent to which two random variables change in opposite directions. When one variable increases, the other tends to decrease, leading to a negative value in the covariance calculation. This concept is crucial for understanding relationships between variables and is closely related to correlation, as both metrics help quantify how two variables relate to one another.
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