Hi, folks!

In the optional lab at the part “An Alternate View” said:

Above, polynomial features were chosen based on how well they matched the target data. Another way to think about this is to note that we are still using linear regression once we have created new features. Given that, the best features will be linear relative to the target. This is best understood with an example.

and some code with a plot is given:

Is it right that for x^2 plot the data is linear because of function given `y=x**2`

?