Explain how you would fit a curve to a set of data in MATLAB.

The MATLAB offers a curve fitting to obtain an equation that fits the set of data. Using the command “polyfit(x,y,n)” the coefficients of the equation (C0, C1, C2........Cn) can be found which sets the equation as mentioned below:

y=C0xn+C1xn−1+C2xn−2+.......Cn (1)

Here,

x and y are the given data points,

n is the number of coefficients.

Example :

Find the equation that best fits the following data points and compare the actual and predicted y values.

Consider the data points as follows,

x	0	1	2	3	4	5	6	7	8	9	10
y	10	12	15	19	23	25	27	32	34	36	41

The steps to find the equation that fits the following data points using MATLAB are as follows:

Draw the plot for the given data points using “plot” command.
Using the curve fitting method to find the best fit equation using the command “coefficients=polyfit(x,y,n)”. Here ‘n’ is the order of the poly-fit equation.
The value of y predicted is calculated using the quadratic equation ypredicted=C0+C1x+C2x2, where C0 , C1 and C2 are the poly-fit equation coefficients

Explain how you would fit a curve to a set of data in MATLAB.

Engineering Fundamentals: An Intro...

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Engineering Fundamentals: An Intro...

Explain how you would fit a curve to a set of data in MATLAB.

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