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 `gg_jitter`

, 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'`

.