Enter paired X and Y values to calculate linear regression (slope, intercept, and equation).
The calculator uses the formulas for simple linear regression:
Slope (m) = Σ[(x − x̄)(y − ȳ)] / Σ[(x − x̄)²] Intercept (b) = ȳ − m × x̄ Regression Line: y = m × x + b
This finds the best‑fit line that minimizes squared error between predicted and actual values.
X: 1, 2, 3, 4 Y: 2, 3, 5, 4 Possible Output: Slope = 0.8 Intercept = 1.5 Equation: y = 0.8x + 1.5