DEFINITION of 'Positive Correlation '
A relationship between two variables in which both variables move in tandem. A positive correlation exists when as one variable decreases, the other variable also decreases and vice versa. In statistics, a perfect positive correlation is represented by the value +1.00, while a 0.00 indicates no correlation and a 1.00 indicates a perfect negative correlation.
BREAKING DOWN 'Positive Correlation '
Here are a few simple examples of a positive correlation: The more money I save, the more financially secure I feel. The longer I invest, the more compound interest I earn. The less time I spend marketing my business, the fewer new clients I acquire. The more years of education I complete, the higher my earning potential.
A perfect positive correlation means that 100% of the time, the relationship that appears to exist between two variables is positive. It is also possible for two variables to be positively correlated in some, but not all, cases.

Inverse Correlation
A contrary relationship between two variables such that they ... 
Negative Correlation
A relationship between two variables in which one variable increases ... 
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CrossCorrelation
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Correlation Coefficient
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As of December, 2014, the average pricetoearnings (P/E) ratio for the utilities sector is approximately 23, which is considerably ... Read Full Answer >> 
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Positive correlation exists when two variables move in the same direction. A basic example of positive correlation is height ... Read Full Answer >> 
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In the field of statistics, positive correlation describes the relationship between two variables which change together, ... Read Full Answer >> 
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Positive correlation refers to a statistical relationship in which two variables generally move in the same direction together. ... Read Full Answer >> 
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