Fit and predict for regression

Now you have seen how linear regression works, your task is to create a multiple linear regression model using all of the features in the sales_df dataset, which has been preloaded for you. As a reminder, here are the first two rows:

     tv        radio      social_media    sales
1    13000.0   9237.76    2409.57         46677.90
2    41000.0   15886.45   2913.41         150177.83

You will then use this model to predict sales based on the values of the test features.

LinearRegression and train_test_split have been preloaded for you from their respective modules.

Create X, an array containing values of all features in sales_df, and y, containing all values from the "sales" column.
Instantiate a linear regression model.
Fit the model to the training data.
Create y_pred, making predictions for sales using the test features.

Exercise

Fit and predict for regression

Instructions