Data Fitting with MATLAB

Data fitting

This code will discuss the practical implementation of the curve fitting schemes. The schemes to be explored are least-square fits, polynomial fits,
line interpolation and spline interpolation. Additionally, a nonpolynomial least-square fit will be considered which results in a nonlinear system of equations. This nonlinear system requires additional insight into the problem and sophistication in its solution technique. To begin the data fit process, we first import a relevant data set into the MATLAB environment. To do so, the load command is used. The file linefit.dat is a collection of x and y data values put into a two-column format separated by spaces.