Interactive Scatter Plot & Correlation Generator
Scatter Plot & Correlation Analyzer
Correlation (r) — No data loaded
R-Squared (R²) — Variance Explained
Regression Line — y = mx + b
Scatter Plot & Statistics Guide

What is a Scatter Plot?

A scatter plot uses dots to represent values for two numerical variables. The position of each dot indicates values for an individual data point, allowing you to observe relationships or correlations between variables.

Pearson Correlation Coefficient (r)

Measures the strength and direction of a linear relationship between two variables:

  • +0.8 to +1.0: Very Strong Positive Correlation
  • +0.5 to +0.7: Moderate Positive Correlation
  • -0.1 to +0.1: Weak or No Linear Correlation
  • -0.5 to -0.7: Moderate Negative Correlation
  • -0.8 to -1.0: Very Strong Negative Correlation

R-Squared (R²)

The Coefficient of Determination represents the proportion of variance in the Y variable that can be explained or predicted by the X variable.

Linear Regression Line

The line of best fit modeled by y = mx + b, where m is the slope and b is the Y-intercept.

Data Processing Notice

Errors occurred while reading your data file.

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