The exercicse ends with this code block
For someone not used to mean squared errors, it can seem rather difficult to estimate the quality of the model with such a high error value (compared to what was seen in the previous notebook).
I think the previous exercise use mean absolute error so we should probably use it here as well (probably this is something that got out of sync)
I agree with the suggestion to use mean absolute error consistently in the linear models module.