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Exercise

Visualizing a linear regression model

Now you have built your linear regression model and trained it using all available observations, you can visualize how well the model fits the data. This allows you to interpret the relationship between radio advertising expenditure and sales values.

The variables X, an array of radio values, y, an array of sales values, and predictions, an array of the model's predicted values for y given X, have all been preloaded for you from the previous exercise.

Instructions

100 XP
  • Import matplotlib.pyplot as plt.
  • Create a scatter plot visualizing y against X, with observations in blue.
  • Draw a red line plot displaying the predictions against X.
  • Display the plot.