Correlation
Correlation is concerned with the measurement of the "strength of association" between variables. It helps to determine how strong the relationship is between two or more variables. Here is how correlation works:

Definition
Correlation is a statistical technique that is used to measure and describe the relationship between two variables. It helps in understanding how changes in one variable are associated with changes in another variable.

Strength of Association
Correlation coefficients range from -1 to +1. A correlation coefficient close to +1 indicates a strong positive relationship, while a coefficient close to -1 indicates a strong negative relationship. A coefficient of 0 suggests no relationship between the variables.

Types of Correlation
There are three types of correlation: positive correlation, negative correlation, and zero correlation. Positive correlation means that as one variable increases, the other variable also increases. Negative correlation means that as one variable increases, the other variable decreases. Zero correlation means there is no relationship between the variables.

Uses of Correlation
Correlation is used in various fields such as finance, economics, psychology, and biology. It helps in making predictions, identifying patterns, and understanding the relationship between variables.
In conclusion, correlation is a valuable tool in statistics for measuring the strength of association between variables. It helps in analyzing the relationship between variables and making informed decisions based on the data.