What is Pearson’s correlation coefficient and how is it used to measure linear relationships?

Pearson’s Correlation Coefficient

Pearson’s Correlation Coefficient is a statistical measure that determines the strength and direction of the linear relationship between two variables.

It is denoted by the symbol ‘r’ and ranges from -1 to 1.

A value of 1 indicates a perfect positive correlation, meaning that as one variable increases, the other variable also increases proportionally.

A value of -1 indicates a perfect negative correlation, meaning that as one variable increases, the other variable decreases proportionally.

A value of 0 indicates no correlation, meaning that there is no linear relationship between the two variables.

The Pearson’s Correlation Coefficient is commonly used in correlation and regression analysis to determine the relationship between two variables and to make predictions based on that relationship.

It is also used in search engine optimisation to identify the most effective keywords to optimise page conversion and in post category tag management to group related content together.

Originally published at Smart Data Kit.
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