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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この演習はコースの一部です
Intermediate Regression with statsmodels in Python
実践的なインタラクティブ演習
このサンプルコードを完成させて、この演習に挑戦してみましょう。
# 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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