 **ames** into training and test sets. Save the rsplit!

1. Fit a linear model to the training set, then use the model to predict new observations from the test set.

1. Extract the rmse- is it the same as what we just calculated in our previous exercise 53885?

Keep `set.seed(100)` at the start of your code.

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