Please answer this question using python and wordsWrite a function linearModelLossRSS which computes and returns the loss function for an OLS model parameterized by $,$ as well as

the gradient of the loss. The function should take as its first argument a $1$d$-$array beta of coefficients for the linear model, as its second

argument the design matrix $x$ as a $2d-$array, and as its third argument a $1$d$-$array $y$ of observed outcomes.

Test the function with these values:

$x=np*array(\left[\begin{array}{cccc}1& 0& -1& 2\end{array}\right]$

$1$

$1$

$1)$

$b=np*array([0\mathrm{.}1,0\mathrm{.}3])$

$y=np*array([0,0\mathrm{.}4,2])$

It must return:

RSS of $2\mathrm{.}06$

Gradient of $.$