An additional variable called Train_Valid was added to split the data into training (T) and validation (V) sets. Assume we would like to predict the price of a used car from its characteristics. 1. Preprocess the data: - Copy the training data into a new excel worksheet. Repeat the same for the validation set. . Change the name of column Price in the validation worksheet to AcmoIPrice, to avoid data overwriting. - Dene the training and the validation sets as StatTool dataset, named 'haining\" and \"validation\" respectively. 2. (20 points} Construct a regression model to predict ears\" price on the training set. Make sure you check the option to predict your model on the validation set {see Figure 1). Report the regression equation (one regression for each fuel type)