= polyfit(x,y,n) performs centering and scaling to improve the numerical properties of both the polynomial and the fitting algorithm. This syntax additionally returns mu, which is a two-element vector with …

This example shows how to fit a polynomial curve to a set of data points using the polyfit function.

The off-diagonal elements are very close to 1, indicating that there is a strong statistical correlation between the variables cdate and pop. Fit a Polynomial to the Data This portion of the example …

Fit polynomials in the Curve Fitter app or with the fit function.

Use polyfit with three outputs to fit a 5th-degree polynomial using centering and scaling, which improves the numerical properties of the problem. polyfit centers the data in year at 0 and scales it to have a …

Esta función de MATLAB devuelve los coeficientes de un polinomio p(x) de grado n que mejor encajen (o que tengan los mínimos cuadrados) con los datos de y.

This example shows how to fit polynomials up to sixth degree to some census data using Curve Fitting Toolbox.

The MATLAB ® Basic Fitting UI helps you to fit your data, so you can calculate model coefficients and plot the model on top of the data. For an example, see Example: Using Basic Fitting UI. You also can …

This MATLAB function evaluates the polynomial p at the values in X.

En este ejemplo se muestra cómo ajustar una curva polinomial a un conjunto de puntos de datos con la función polyfit.