Question $3$: Load the rpart library into your R environment $($rpart contains the tree function necessary for fitting CART models$).$ Partition the data set into training $(60\%)$ and testing $(40\%)$ sets. Build a single classification tree with the training data and HighVol as the target. $($Hint: Be sure to exclude the Sales variable from the model since it was used to create our outcome variable.$)1.$Which variable$($s$)$ were used in the tree model?$2.$How would you use the model to predict whether or not a store would produce a high volume?$3.$What is the accuracy of the model when using the training and test data? Use the function confusionMatrix to create a misclassification table to include with your answer$\mathrm{.}4.$Consider the following store: ShelvLoc $=$ Good, Price $=115,$ no local advertising budget, and local income of $$46,000.$ Based on the classification model, would a store with those features be predicted to be a high$-$performing store? Explain your answer.