Covariance and Correlation
Covariance depicts the direction of relationships between two variables, while correlation indicates the direction along with the strength of the relation.
covariance values lie between -infinity to +infinity while correlation values lie between -1 to +1. -1 indicates that there is a negative correlation, 0 indicates there is no correlation and +1 indicates there is a positive correlation.
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