Positive covariance is a statistical measure that indicates the extent to which two random variables change together in the same direction. When the covariance is positive, it suggests that as one variable increases, the other variable tends to increase as well, reflecting a direct relationship between them. This concept is crucial in understanding how variables relate to one another, especially when exploring correlations and the strength of these relationships.
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