Linear data fitting 0 solutions submitted (max. Unlimited) As a preliminary investigation for the release of a top-secret project, your company has asked you to determine the spring constants for a collection of reference springs. Fortunately, the measurements have alrcady bcen carried out and you have only to interpret them Recall that spring displacement is govened by Hooke's law, where x is the observed displacement and F is the corresponding required force. Since it is experimentally easier to use mass instead of displacement, the data sets instead specify mass, related by F m/1000g where m is mass in grams and g is acceleration due to gravity. Thus the spring constant k may be determined from the experimental data as the slope of the line fitting displacement and force data The data are recorded in the format [ m x] that is, the mass in the first column and the displacement observed in the second 5 15.5 10 33.07 0 53.39 50 140.24 100 301.03 Compose a function fit_spring which accepts an array of data in this format and returns the corresponding spring constant k. Use g-9.81 Your Function C Reset MATLAB Documontation 1function [k1-fit springx) end Linear data fitting 0 solutions submitted (max. Unlimited) As a preliminary investigation for the release of a top-secret project, your company has asked you to determine the spring constants for a collection of reference springs. Fortunately, the measurements have alrcady bcen carried out and you have only to interpret them Recall that spring displacement is govened by Hooke's law, where x is the observed displacement and F is the corresponding required force. Since it is experimentally easier to use mass instead of displacement, the data sets instead specify mass, related by F m/1000g where m is mass in grams and g is acceleration due to gravity. Thus the spring constant k may be determined from the experimental data as the slope of the line fitting displacement and force data The data are recorded in the format [ m x] that is, the mass in the first column and the displacement observed in the second 5 15.5 10 33.07 0 53.39 50 140.24 100 301.03 Compose a function fit_spring which accepts an array of data in this format and returns the corresponding spring constant k. Use g-9.81 Your Function C Reset MATLAB Documontation 1function [k1-fit springx) end