1. Least Squares Function In this exercise we'll package the core calculations of least squares linear regression into a function. Then we'll use the new function to analyze three data sets (a) Create a function that will accepts two arrays as input and return the value of M, B, and R2 using the method of least squares. b) Write a short script which will plot the data in noisy.mat and the best fit line using the new least squares function. (c) Now use your script to study noisy.low.mat and curvy.mat. (d) How does the R value change between the data sets? 1. Least Squares Function In this exercise we'll package the core calculations of least squares linear regression into a function. Then we'll use the new function to analyze three data sets (a) Create a function that will accepts two arrays as input and return the value of M, B, and R2 using the method of least squares. b) Write a short script which will plot the data in noisy.mat and the best fit line using the new least squares function. (c) Now use your script to study noisy.low.mat and curvy.mat. (d) How does the R value change between the data sets