Using the original data, af , training ( train ) and test ( test ) sets have been created. Complete the code using the data sets in the appropriate places. Complete the code to return the output df_split <- initial_split(df, prop = 0.8) train <- training (df split) test <- testing(df_split) Fit the model hodel <- Lm(mpg - . data = urite code here) Create predictions for model validation predict(model, newdata = write code here ) %>% head () Expected Output Hornet Sportabout Duster 360 Merc 450SLC Fiat 128 17.65506 15.54572 14.95263 25.24652 Toyota Corolla Porsche 914-2 26.55462 26.56970

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