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.
taiwan_real_estate is available.
This exercise is part of the course
Intermediate Regression with statsmodels in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import matplotlib.pyplot and seaborn
____
____
# Create a scatter plot with linear trend line of price_twd_msq vs. n_convenience
____
# Show the plot
____