Curve Fitting using Unconstrained and Constrained Linear Least Squares Methods
This online calculator build regression model to fit a curve using linear least squares method. If additional constraints on the approximating function are entered, calculator uses Lagrange multipliers to find the solutions.
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Articles décrivant cette calculatrice
Curve Fitting using Unconstrained and Constrained Linear Least Squares Methods
Function must pass through particular points
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Digits after the decimal point: 4
Quadratic regression
Correlation coefficient
Coefficient of determination
Average relative error, %
Cubic regression
Correlation coefficient
Coefficient of determination
Average relative error, %
4th order polynomial regression
Correlation coefficient
Coefficient of determination
Average relative error, %
5th order polynomial regression
Correlation coefficient
Coefficient of determination
Average relative error, %
Linear regression
Linear correlation coefficient
Coefficient of determination
Average relative error, %
Logarithmic regression
Correlation coefficient
Coefficient of determination
Average relative error, %
Hyperbolic regression
Correlation coefficient
Coefficient of determination
Average relative error, %
6th order polynomial regression
Correlation coefficient
Coefficient of determination
Average relative error, %
7th order polynomial regression
Correlation coefficient
Coefficient of determination
Average relative error, %
8th order polynomial regression
Correlation coefficient
Coefficient of determination
Average relative error, %
Results
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Calculatrices utilisant cette calculatrice
Calculatrices utilisées par cette calculatrice
- Curve Fitting using Unconstrained and Constrained Linear Least Squares Methods
- Random matrix generator
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PLANETCALC, Curve Fitting using Unconstrained and Constrained Linear Least Squares Methods
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