Code: Submit the code you used to generate the fits and graphs

Fitting a Curve to Measured Data The data in the accompanying table is known to have originated from a noisy measurement process. Use an appropriate technique to fit a curve to the data. Try at least three different fits that are appropriate to this type of problem and determine which is most suitable Task 1 Data f (x) Please write on the following 0.1579 0.3158 0.4737 0.6316 0.7895 0.9474 1.1053 A graph containing the original data and the curve you fit. 2632 1.4211 1.5789 1.7368 1.8947 " If there are multiple m-files, explain each individually and2.0526 2.2105 2.3684 2.5263 0.3637 0.3164 1.1263 1.0672 0.1076 1.8249 0.1899 1.3484 1.2583 3.2179 1.7378 3.6954 5.1611 6.7646 8.3733 8.1898 7.9968 2.6842 10.2402 2.8421 11.5248 3.0000 16.6505 o Mathematical definition of the fit types you tried o Brief explanation of why you tried them o Your choice of the best fit and an explanation for why you believe this one is the best. Include: Any goodness-of-fit metrics you used to it (for the best fit curve) o A concise explanation of the MATLAB code you have implemented to solve this problem how they relate to one another