Problem $2/$ Mat labGrader $(20$ points$)($Core Course Outcome $4)$

Develop a Matlab function myFitExam that finds the best fit of the function

$p(t)=\frac{1}{a{t}^3+b{t}^2+ct+d}$

to a given set of data points $(t_i,p_i)$ using regression.

The function input shall be

$t$ : column vector of data values $t$

p: column vector of data values $p$

The function output shall be

a: scalar containing the best fit coefficient $a$

b: scalar containing the best fit coefficient $b$

c: scalar containing the best fit coefficient $c$

$d$ : scalar containing the best fit coefficient $d$

In the function use only functions developed in this class in modules $1-4.$

Some of the functions covered in modules $1-4$ were gauss jordan elimination myGaussJordan and linear least square regresssion myLinReg try to use these functions instead of matlab inbuilt functions