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:

1. Select two columns with continuous data (e.g., height and weight).

2. Check for a linear relationship between the variables.

3. Compute the Pearson correlation coefficient.

4. 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.