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Visualizing each explanatory variable

Being able to see the predictions made by a model makes it easier to understand. In the case where there is only one explanatory variable, seaborn lets you do this without any manual calculation.

To visualize the relationship between a numeric explanatory variable and the numeric response, you can draw a scatter plot with a linear trend line.

To visualize the relationship between a categorical explanatory variable and the numeric response, you can draw a box plot.

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This exercise is part of the course

Intermediate Regression with statsmodels in Python

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import matplotlib.pyplot and seaborn
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# Create a scatter plot with linear trend line of price_twd_msq vs. n_convenience
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# Show the plot
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Edit and Run Code