Exercise

# Refresher on fitting linear models

During this exercise, you'll see how a linear model is a special case of a generalized linear model (GLM).
You will use the `ChickWeight`

dataset that we introduced during the video.
I have already extracted the last observed weights for you.
With the dataset, you will see if `Diet`

affects `weight`

at the end of the study.

Recall from the video that a linear model looks like `lm(formula = y ~ x, data = dat)`

and that a GLM looks like `glm(formula = y ~ x, data = dat, family = 'family')`

.

Instructions

**100 XP**

- Fit a linear model with variable
`weight`

predicted by variable`Diet`

using the`chick_weight_end`

dataframe. - Fit a GLM using the same formula and data, but also include the
`gaussian`

family.