Linear Regression Calculator
Calculate linear regression instantly with our math tool. Shows detailed work, formulas used, and multiple solution methods.
Formula
y = mx + b | m = (nฮฃxy - ฮฃxฮฃy) / (nฮฃxยฒ - (ฮฃx)ยฒ) | b = (ฮฃy - mฮฃx) / n
Least squares linear regression finds the best-fit line through data points by minimizing the sum of squared residuals.
Frequently Asked Questions
What is regression analysis and when should I use it?
Regression models the relationship between a dependent variable and one or more independent variables. Linear regression fits a straight line (y = mx + b). Use it to predict outcomes, identify which variables matter most, and quantify relationships. R-squared tells you what percentage of variation is explained by the model.
Is my data stored or sent to a server?
No. All calculations run entirely in your browser using JavaScript. No data you enter is ever transmitted to any server or stored anywhere. Your inputs remain completely private.
Can I use the results for professional or academic purposes?
You may use the results for reference and educational purposes. For professional reports, academic papers, or critical decisions, we recommend verifying outputs against peer-reviewed sources or consulting a qualified expert in the relevant field.
How do I get the most accurate result?
Enter values as precisely as possible using the correct units for each field. Check that you have selected the right unit (e.g. kilograms vs pounds, meters vs feet) before calculating. Rounding inputs early can reduce output precision.
What formula does Linear Regression Calculator use?
The formula used is described in the Formula section on this page. It is based on widely accepted standards in the relevant field. If you need a specific reference or citation, the References section provides links to authoritative sources.
Is Linear Regression Calculator free to use?
Yes, completely free with no sign-up required. All calculators on NovaCalculator are free to use without registration, subscription, or payment.