Linear Regression

Calculate the line of best fit (y = mx + b) and correlation coefficient (r).

linear regressionbest fit linecorrelationforecasting

Disclaimer: This tool provides estimates for informational and educational purposes only. It does not constitute professional financial, medical, or legal advice. Please consult with a qualified professional before making any significant decisions based on these estimations.

Common Use Cases

  • double-checking day-to-day calculations
  • sanity-checking numbers before sharing them
  • fast answers on mobile without a spreadsheet

What is Linear Regression?

Statistical method to model the relationship between a scalar response and one or more explanatory variables.

How to Use This Tool

  1. 1Enter X and Y data pairs
  2. 2Calculate regression equation
  3. 3View graph

Example

Input

(1,2), (2,3), (3,5)

Output

y = 1.5x + 0.33

Before You Rely on This Result

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  • Check that the inputs reflect your real situation before you rely on the estimate.
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  • Use this result as a starting point, then confirm important decisions with official sources or a qualified professional.

Frequently Asked Questions