Exercise

# Fitting a Poisson regression in R

In this exercise, you will fit a Poisson regression using `glm()`

.
GLMs in R use the same formula notation as linear models: `response ~ predictor`

.
However, the model also requires the error or distribution family to be specified with the `family = ...`

argument.
To fit a Poisson regression, set family equal to `"poisson"`

(make sure to include the quotes `"`

around `poisson`

).

You will use a simulated dataset with a predictor variable `time`

and response `count`

.

A real dataset could be number of points scored, clicks on a webpage, or birds you see out your window.

Instructions

**100 XP**

- Using data.frame
`dat`

, fit a Poisson regression where`count`

is predicted by`time`

with the`poisson`

family. Save the model as`poisson_out`

. - Print
`poisson_out`

to the screen.