Can someone write a simple C program for me?

The program is to compute a linear regression equation to fit a straight line to load deflection data for a mechanical coil spring.The computed equation will satisfy the least squares criterion. That is, it will minimize the sum of the squares of the deviations of the observed deflections from those predicted by the equation.

Start with a set of experimental data which plots the relationship between two quantities, the weight of a load on a spring and the corresponding compression of the spring, Fitting a curve to known data enables estimation of spring deflections for other loads not in the data. This curve can be the basis for calibrating a spring scale. The data consists of a collection of experimentally obtained pairs (x_i, y_i) with i = 0, 1, 2, ., n-1. The x_is (independent variables) are the weights; the yis (dependent variables) are the corresponding deflections. We want to find a (linear) function f such that . It doesnt need to be too fancy, just follow the general requirements. Ive attached the assignment explanation and output. Thanks for your help!

Output should look kind of like this.