Quadratic Regression Formula Calculator

This quadratic regression calculator determines the best-fit quadratic equation for your data points. Quadratic regression models relationships where change occurs at a varying rate, useful in fields from physics to finance across global industries.

Enter Your Data Points

Add your X and Y coordinate pairs below. You need at least 3 points for quadratic regression analysis.

Regression Results

The quadratic regression formula follows the standard form: y = ax² + bx + c

Coefficient a

0.000

Coefficient b

0.000

Coefficient c

0.000

R² (Goodness of Fit)

0.000

Regression Equation

y = 0.000x² + 0.000x + 0.000

Prediction Result

Enter an X value to get prediction.

Regression Curve Visualization

The graph below shows your data points and the calculated quadratic regression curve.

Understanding Quadratic Regression

Quadratic regression analysis models relationships using a parabolic curve. This statistical method applies globally across industries from economics to engineering.

  • Captures acceleration or deceleration trends in data patterns
  • Essential for forecasting in business and scientific research
  • Used in quality control processes in manufacturing worldwide
  • Applied in epidemiological modeling for disease spread analysis
  • Utilized in climate change research and environmental studies

Quadratic Regression Applications

This mathematical approach has diverse applications across multiple sectors:

Industry/Sector Application Global Standards
Economics & Finance Modeling diminishing returns, cost functions ISO, GAAP, IFRS compliant analysis
Engineering & Physics Projectile motion, structural stress analysis ASTM, IEEE, ISO standards
Healthcare & Epidemiology Disease spread modeling, treatment response curves WHO, CDC guidelines compliant
Environmental Science Pollution dispersion, species population changes EPA, UN Environment Programme standards

For easy graphing of linear regression results, try the Linear Regression Graphing Calculator.