Interactive Polynomial Regression Calculator
Calculate polynomial regression online to model relationships in your data. Visualize curves, get coefficients, predicted values, and R-squared. Perfect for data analysis and curve fitting.
Enter comma-separated values for the independent variable.
Enter comma-separated values for the dependent variable.
Choose the degree of the polynomial to fit (e.g., 1 for linear, 2 for quadratic).
Regression Results
Coefficients:
Predicted Values:
R-squared Value:
Regression Visualization
About Polynomial Regression
Polynomial Regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables as an nth-degree polynomial. It's used when the relationship between variables is curvilinear. For example, in a quadratic regression (degree 2), the model equation is \( y = b_0 + b_1x + b_2x^2 \), where \( y \) is the dependent variable, \( x \) is the independent variable, and \( b_0, b_1, b_2 \) are the regression coefficients. This tool helps you find these coefficients, predict values, and understand how well the polynomial fits your data using the R-squared value, which ranges from 0 to 1, with higher values indicating a better fit. Use this calculator to analyze trends, fit curves to data points, and explore non-linear relationships in your datasets.
- Enter your X and Y values as comma-separated lists.
- Choose the degree of the polynomial. Degree 1 is linear, 2 is quadratic, and so on.
- Click 'Calculate Regression' to see the coefficients, predicted values, R-squared, and interactive chart.
- Use 'Reset' to clear inputs and start a new calculation.
- 'Copy Results' to clipboard for easy sharing or documentation.