Pearson’s Correlation
Use: Pearson’s correlation measures the linear relationship between two continuous variables. It produces a correlation coefficient that ranges from -1 to 1, indicating the strength and direction of the relationship.
Example: Examining the relationship between hours of study and exam scores for a group of students to see if there's a linear correlation.
Column Requirement: Continuous data for both variables.
Steps:
Select two columns with continuous data (e.g., height and weight).
Check for a linear relationship between the variables.
Compute the Pearson correlation coefficient.
The coefficient ranges from -1 to 1, where 1 indicates a perfect positive linear relationship, -1 a perfect negative linear relationship, and 0 no linear relationship.
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