Problem $1/$ Mat labGrader $(20$ points$)($Core Course Outcome $4)$

Develop a Matlab function myFit Exam that finds the best fit of the function

$p(t)=asi{n}^3(t)+bsi{n}^2(t)+$csin$(t)+d$

to a given set of data points $(t_i,p_i)$ using regression. Here $t$ is in radians.

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 $1-4.$ You do not need to provide these functions in your

submission. They will be provided when assessing your function after the deadline.

Note: no assessments will be performed on your submitted function before the exam deadline. Scores on Canvas for this problem

before the exam has been fully graded are meaningless.