Please upload a MATLAB code

a) Using the least-square minization principle as discussed in the class, derive the formula for computing the slop (m) and intercept (c) for the regression line y-mx +c b) Use least-squares regression to fit a straight line to and write the equation of the line x 1 3 5 710 12 13 16 1820 y 4 5 6 5 8 76 91211 c) In the process of calculating the slop and intercept, you will need to compute the summation of the elements of above vectors in various form. Write a for-loop version to compute the following summation and enter the computed value