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Math
Linear Regression
y = a + bx, R² by OLS
Runs locally in your browser
Parameters
Results
- y = a + bx
- y = 1.08 + 0.9771x
- R²
- 0.9934
- r
- 0.9967
- Predict at x=0
- 1.08
How it works
Fit a least-squares linear regression line y = a + bx to paired data.
Who it's for: Students and analysts exploring linear relationships between two variables.
Returns intercept a, slope b, and coefficient of determination R².
Uses ordinary least squares (OLS).
X and Y lists must have equal length.
How to use
- Enter matching X and Y value lists.
- Read a (intercept), b (slope), and R² — values near 1 indicate strong linear fit.