The Pearson Correlation Coefficient is a statistical measure that calculates the strength and direction of the linear relationship between two variables. It ranges from -1 to 1, where values closer to 1 or -1 indicate a strong positive or negative linear relationship, respectively, and a value of 0 indicates no linear correlation.

Pearson Correlation

The Pearson correlation coefficient is a statistical measure that quantifies the linear relationship between two continuous variables, ranging from -1 to 1, where 1 indicates a perfect positive linear relationship, -1 a perfect negative linear relationship, and 0 no linear relationship. It is sensitive to outliers and assumes that the variables are normally distributed and have a linear relationship.

Pearson Correlation Coefficient

A statistical measure is a value that represents a characteristic of a dataset, providing insights into its distribution, central tendency, or variability. These measures are essential for summarizing data, making comparisons, and drawing conclusions in research and data analysis.

statistical measure

Strength of the linear relationship

direction of the linear relationship

two variables

Strong positive linear relationship

Strong negative linear relationship

no linear correlation

values closer to 1

Values closer to -1

A linear relationship describes a direct proportionality between two variables, where a change in one variable results in a consistent change in the other. This relationship is graphically represented by a straight line on a Cartesian plane, characterized by its slope and intercept.

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