Assignment $1$:

Write a python code for simple regression using Ordinary Least Squares $($OLS$)$ with any

regression dataset. Assume the input feature is $x,$ the output feature is $y,b$ is the intercept, and $m$

is the coefficient of $x.$ The equations for $b$ and $m$ are provided as follows, where $n$ is the number

of data samples.

$b=y^{}-m{x}^{}$

$m=\frac{{\displaystyle \underset{i=1}{\overset{n}{}}}(x_i-(x^{}))(y_i-(y^{}))}{{\displaystyle \underset{i=1}{\overset{n}{}}}(i{x}_1-(x^{}){)}^{2}i}$