Curve fitting, MATLAB in Statistics

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Curve Fitting:

The data is fundamentally either discrete or continuous. In most of the applications, data is sampled, for illustration,

  • The temperature recorded every hour
  • The speed of the car recorded every 1/10 of a mile
  • The mass of the radioactive material recorded every second as it decays
  • The Audio from a sound wave as it is converted into a digital audio file

This gives data of the form of (x,y) points, which then could be plotted. For illustration, let's say the temperature was recorded every hour one afternoon from 2 to 6 p.m.; the vectors may be:

>> x = 2:6;

>> y = [65 67 72 71 63];

and then the plot may appear like figure as shown below:

21_Curve fitting.png


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