Exercise

# Regression With a Categorical Response I

So we've seen what happens with a categorical predictor variable, what about a categorical response (response) variable?

Let's say instead of a continuous measure of liking, we have a binary measure - either someone likes us (1), or they don't (0).

We can see whether we can predict whether someone likes us or not using logistic regression.

While previously we have used the `lm()`

function, for logistic regression we will use the `glm()`

function, with the added argument `family = binomial`

. This should look something like this: `glm(response variable ~ predictor variable + predictor variable, family = binomial)`

.

Let's try this out!

Instructions

**100 XP**

- In your script add a line of code that finds the logistic regression model for liking, predicted by smile and money.
- Assign the outcome of this mode to object
`logmod`

. - Use the
`summary()`

function to find the regression coefficients for`logmod`

. - 'Submit' and look at the output!