correlationlab
THE ANALYSIS WORKSPACE

Analyze your data.

Two variables. One clearer picture.

Your data

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Simulated teaching data · editable

Your data is processed locally in your browser and is not uploaded.

The relationship

LIVE PREVIEW
Exam score versus Study hoursFocus or hover a data point to inspect its coordinates. Potential outliers use diamond markers. -0.635.92.351.25.366.58.281.711.197Study hoursExam score

y = 3.480x + 47.730 R² = 0.757

Outlier Detection · 0 potential points

Diamond markers identify observations outside Q1 − 1.5 × IQR or Q3 + 1.5 × IQR in either variable (linearly interpolated quartiles). This marginal rule does not detect every unusual relationship.

Potential outliers may strongly affect Pearson correlation. Hiding markers changes only the visualization: all 20 observations remain in the analysis.

Which method should I use?

Pearson: linear relationships between numeric measurements. Spearman: monotonic relationships or ordinal ranks; average ranks handle ties. Kendall: pairwise rank agreement with tie correction. No method establishes causation.

FROM OBSERVATIONS TO UNDERSTANDING

Explore the plot, then analyze for the full story.