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Exercise

Building a linear regression model

Now you have created your feature and target arrays, you will train a linear regression model on all feature and target values.

As the goal is to assess the relationship between the feature and target values there is no need to split the data into training and test sets.

X and y have been preloaded for you as follows:

y = sales_df["sales"].values
X = sales_df["radio"].values.reshape(-1, 1)
Instructions
100 XP
  • Import LinearRegression.
  • Instantiate a linear regression model.
  • Predict sales values using X, storing as predictions.
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