To perform least squares polynomial regression (or curve fitting) in MATLAB, you can use the polyfit
function. This function takes in the x and y data points, as well as the degree of the polynomial you want to fit. It returns the coefficients of the polynomial that best fits the data.
Here's an example:
main.m325 chars17 lines
In this example, we have data points (1,5)
, (2,7)
, (3,9)
, (4,11)
, and (5,13)
. We want to fit a second-degree polynomial (a parabola) to this data. We use the polyfit
function to obtain the coefficients of the parabola that best fits the data. We then evaluate the parabola at 100 equally spaced points between 1 and 5, and plot both the data and the fitted parabola.
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