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library(ISLR2)
data(Auto)
set.seed(1)
train <- sample(nrow(Auto), floor(nrow(Auto)*0.5))

Questions

• MC:
  A) Bananas are yellow.
  B) Tomatoes are blue.
  • 1) Both statements are true.
  • 2) Both statements are false.
  • 3) A is true and B is false.
  • 4) A is false and B is true.
• Create a linear regression model with mpg as the dependent variable and displacement and horsepower as independent variables. Train your model on the train set and store your model in model.
• Using the linear regression model, predict on the test set. Store your predictions in preds.
• Store the length of the Auto data set in len using the length() function.

Assume that:

• The ISLR2 library has been loaded
• The Auto data set has been loaded