Linear Regression Calculator

Linear Regression

Linear regression finds the best-fitting straight line through a set of points. It's used to model the relationship between a dependent variable (y) and one independent variable (x).

How It Works

Linear regression works by finding the line that minimizes the sum of squared differences between observed values and predicted values. The equation for a linear regression line is:

y = mx + b

Where:

• y is the dependent variable (what we're trying to predict)
• x is the independent variable (what we're using to make predictions)
• m is the slope (how much y changes when x changes)
• b is the y-intercept (the value of y when x = 0)

When to Use Linear Regression

Use linear regression when:

• You want to understand the relationship between two variables
• You want to predict a continuous outcome based on one predictor variable
• The relationship between variables appears to be linear

How to Use This Calculator

Enter your data below as comma-separated x,y pairs (one pair per line) or upload a CSV file. The calculator will find the best-fitting line and provide statistics about the model quality.