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Statistics Calculators
Linear Regression Calculator
Calculate the slope and intercept of the best-fit line through a set of x and y data points using least-squares regression.
Slope (m)
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Intercept (b)
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R² (coefficient of determination)
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About the Linear Regression Calculator
Simple linear regression finds the straight line that best fits a set of (x, y) data points by minimizing the sum of squared vertical distances between the points and the line — the "least-squares" method.
Formula: Slope m = ∑((x − x̄)(y − ȳ)) ÷ ∑(x − x̄)² · Intercept b = ȳ − m × x̄ · Line: y = mx + b
R² indicates how well the line fits the data, ranging from 0 (no linear relationship) to 1 (perfect fit). Linear regression is a foundational tool for forecasting and trend analysis.
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