Exercise

# Poisson Regression

A Poisson regression is another type of GLM. This requires integers or count data (i.e., 0, 1, 2, 3, …). For some situations, a Poisson regression can be more powerful (e.g., detecting statistically significantly trends) than a linear model or "Gaussian" regression.

During this exercise, we're going to build a linear regression using the `lm()`

function and a Poisson regression using `glm()`

.

The objects `x`

and `y`

are loaded into R for you.

Instructions

**100 XP**

- Build an
`lm()`

where`y`

is predicted by`x`

and then print the summary. - Build a
`glm()`

where`y`

is predicted by`x`

with a`"poisson"`

distribution function and then print the summary to the terminal. - Examine the coefficient estimates for each and notice how only the
`glm()`

produces statistically significant estimates for`x`

.