Negative covariance is a statistical measure that indicates the degree to which two random variables move in opposite directions. When one variable increases, the other tends to decrease, which reflects an inverse relationship between them. Understanding negative covariance is crucial for analyzing the relationship between variables in data sets, as it can provide insights into their correlation and dependence.
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