Correlation Calculator (Pearson’s r)
Compute the Pearson correlation coefficient, visualize the scatter plot, and assess the linear relationship between two variables. Paste comma‑separated values or use the sample.
Step 1: Enter paired data
📊 Understanding correlation
Pearson’s r ranges from –1 to +1. +1 = perfect positive, 0 = no linear, –1 = perfect negative. The scatter plot includes a linear regression line.
Step 2: Options
📐 Formula
r = cov(X,Y) / (σₓ·σʏ). The t‑statistic = r·√((n‑2)/(1‑r²)) for significance testing (df = n‑2).
Correlation Results
Summary
Scatter plot
Data table
Pearson correlation coefficient (r)
0.80
r² = 0.64
Sample size (n)
5
Covariance
1.25
t‑statistic (df=n‑2)
2.31
Strength
Strong positive
Scatter plot with regression line
Paired data values
| # | X value | Y value |
|---|
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