Matlab

Curve fitting a. Fit a first-order polynomial to the data b. Fit a second-order polynomial to the data c. Fit a third-order polynomial to the data d. For each polynomial, calculate y-values for the given x-values e. Plot the y-values of each polynomial against the given x-values on a single plot f. For each polynomial, calculate the difference between the y-values and the given y-values g. For each polynomial, calculate the root mean square of this difference: y_rms = Squareroot 1 (x_1^2 + x_2^2 + ... + x_n^2) h. Plot the root mean square vs the order of the polynomial Curve fitting a. Fit a first-order polynomial to the data b. Fit a second-order polynomial to the data c. Fit a third-order polynomial to the data d. For each polynomial, calculate y-values for the given x-values e. Plot the y-values of each polynomial against the given x-values on a single plot f. For each polynomial, calculate the difference between the y-values and the given y-values g. For each polynomial, calculate the root mean square of this difference: y_rms = Squareroot 1 (x_1^2 + x_2^2 + ... + x_n^2) h. Plot the root mean square vs the order of the polynomial