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, ggplot lets you do this without any manual calculation or messing about.
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 and ggplot2 is loaded.
This exercise is part of the course
Intermediate Regression in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Using taiwan_real_estate, plot price_twd_msq vs. n_convenience
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# Add a point layer
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# Add a smooth trend line using linear regr'n, no ribbon
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