Negative covariance is a statistical measure that indicates the degree to which two variables change in opposite directions. When one variable increases, the other variable tends to decrease, resulting in a negative value for covariance. This concept is closely tied to understanding relationships between variables and plays a crucial role in the broader framework of covariance and correlation, illustrating how variables interact with each other in various contexts.
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