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Correlation Theory
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Correlation theory is a statistical method used to determine the relationship between two or more variables. It measures the strength and direction of the linear association between variables, indicating how changes in one variable are related to changes in another.
Correlation can be positive, indicating a direct relationship where both variables increase or decrease together. It can also be negative, indicating an inverse relationship where one variable increases while the other decreases.
The correlation coefficient, often denoted as "r," is the common measure used to quantify the strength and direction of the relationship. It ranges from -1 to +1, where:
-1 represents a perfect negative correlation
0 represents no correlation
+1 represents a perfect positive correlation
Correlation theory is used in various fields such as economics, psychology, sociology, and healthcare to understand the relationships between variables and make predictions based on observed data. While correlation does not imply causation, it provides valuable insight into the degree of association between variables.