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Of course, we are in no way restricted to using polynomial transformations of the predictors. We can also perform a log transformation.

summary(lm(medv ~ log(rm), data = Boston))
...

Create a model with a log transformation of both the dependent (medv) and the independent variable lstat. You see that this also works for the dependent variable.

Assume that:

The MASS library has been loaded
The Boston dataset has been loaded and attached