Linear Regression Calculator
Fit a straight line (y = mx + b) to paired X and Y data using least squares.
Calculate
Enter your values below.
Result
Slope (m)
0
Intercept (b)
0
Formula used
The least-squares method finds the line y = mx + b that minimizes the total squared vertical distance to every data point.
Example: X: 1,2,3,4,5 and Y: 2,4,5,4,5 → y ≈ 0.6x + 2.2.
How to use this calculator
- Enter X values (comma-separated), Y values (comma-separated).
- Press Calculate to see your result instantly.
FAQ
Frequently asked questions
What does the slope tell you?
How much Y is predicted to change for each one-unit increase in X.
What does the intercept tell you?
The predicted value of Y when X equals zero.
How is the line fitted?
By the least-squares method, which minimizes the sum of squared differences between actual and predicted Y values.
Is this the same as correlation?
Related but different — correlation measures the strength of a linear relationship, while regression fits an actual predictive line.