What is the difference between R² and Pearson r?

Pearson r measures the direction and strength of the linear relationship (-1 to +1), while R² is the square of r and represents the proportion of variance in Y explained by X (0 to 1). R² is always positive.

How many data points do I need for linear regression?

You need a minimum of 2 points to define a line, but 3 or more points are recommended for meaningful analysis. More data points generally produce more reliable results.

What does correlation strength mean?

Correlation strength classifies the absolute value of Pearson r: Very Strong (≥0.9), Strong (≥0.7), Moderate (≥0.4), Weak (≥0.2), and Very Weak (<0.2).

Linear Regression Calculator

Calculate slope, intercept, R², and Pearson correlation coefficient from X,Y data pairs with best-fit line equation and Y prediction. Perfect for statistics, data science, and academic research with correlation strength classification.

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Sample Data Sets

Try these sample datasets to test the calculator

Enter Data Points

Input X,Y pairs — one per line, separated by comma or space

Data Points (X, Y)

One X,Y pair per line. Supports comma or space separated values.

Predict Y for X (optional)

How it works: Enter X,Y data pairs to compute the best-fit line using least squares regression. The calculator finds slope, intercept, R², and Pearson correlation. Optionally enter an X value to predict the corresponding Y.

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