Unlock the Secrets of Relationships with the Correlation Coefficient Calculator
Dive into data analysis and discover the strength and direction of linear relationships between variables.
Data Inputs
Enter your data sets below as comma-separated values. Ensure both datasets have the same number of entries for accurate calculation.
Correlation Coefficient (r):
Data Visualization
Understanding Correlation Coefficient
The Pearson Correlation Coefficient, denoted as 'r', measures the strength and direction of a linear relationship between two variables. It ranges from -1 to +1, where:
- r = +1: Perfect positive correlation (as one variable increases, the other tends to increase).
- r = -1: Perfect negative correlation (as one variable increases, the other tends to decrease).
- r = 0: No linear correlation.
The closer 'r' is to ±1, the stronger the linear relationship. Values near 0 indicate a weak or non-existent linear relationship. This tool helps you quickly calculate and visualize this important statistical measure.
Learn more about correlation coefficient on Wikipedia.