📈 Linear Regression Calculator
Calculate the slope, intercept, and R² for a linear regression from x,y data pairs.
What is Linear Regression?
Linear regression fits a line y = mx + b to data by minimizing the sum of squared residuals. The slope m = Σ(xᵢ - x̄)(yᵢ - ȳ) / Σ(xᵢ - x̄)² and the intercept b = ȳ - m·x̄. The R² value (coefficient of determination) measures how well the line fits the data, ranging from 0 to 1.
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