Exercise

Methods for trend lines

During the previous exercise, you used ggplot2's defult geom_smooth(). During this exercise, you will use a glm() instead. This will allow you to "see" a logistic regression with ggplot2. Specifically, you plot the probability someone takes the bus given their commute distance.

You will need to tell geom_smooth() to use the glm() method. Recall from Chapter 2 that the default family for a glm() is a Gaussian family, which produces the same results as a lm(). Thus, you will also need to specify the method argument from glm().
The code for creating ggJitter, which you built in the last exercise, has been provided for you.

Instructions

100 XP

Use the "glm" method with geom_smooth().
With the method.args, set the family to 'binomial'.

Take Hint (-30 XP)