最小二乗法回帰
データ点 (x,y)
傾き (a): -
切片 (b): -
決定係数 (R²): -
回帰方程式: -
Least squares regression
Find the best-fit line y = ax + b by minimizing squared residuals.
- Enter one x,y pair per line
- R² closer to 1 means a better fit
Find the best-fit line y = ax + b by minimizing squared residuals.