please solve in MATLAB

Problem 4 The data given is to be curve-fitted with the equation y = ax emx, where a and m are the unknown parameters. Again, x should be treated as a vector of constants, and y as a vector of measurements contaminated with error. Note that the weights, w, are inversely proportional to the magnitude of y. y 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 714 741 833 865 872 878 900 898 887 47194310 4002 3769 3592 3458 3359 3288 3241 3215 | 3207 804 814 W a. Transform the equation to a linear form and estimated the transformed unknown parameters and their standard deviations using the weighted version of linear least squares regression b. Using the transformed unknown parameters and their standard deviations, solve for the original unknown parameters, a and m, and their standard deviations Plot the original data and the fitted curve on the same figure. d. Estimate the adjusted observationsy and their standard deviations e. Add the adjusted observations y to the figure. Which part of the curve can be better trusted and why? c