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Instead of using X: , 2 as a feature in our second model, we decided to transform it and use X 2 : , 2

Instead of using X:,2 as a feature in our second model, we decided to transform
it and use X
2
:,2
instead. That is, the dataset we use is modified as follows:
Y bias X:,1 X
2
:,2
-111(-1)2=1
31-20
2=0
4111
2=1
Accordingly, we calculate a single prediction using the new model as specified below:
y
new =\theta
new
0+\theta
new
1 x1+\theta
new
2 x
2
2
Is it possible to find a unique optimal solution in this case? If so, compute \theta
new and the
corresponding value of MSE. If not, explain why this is not possible. Regardless of which
way you answer, similar to part d), explicitly write out the matrix Xnew for this problem
and show all steps.

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