Exercise

# A more sophisticated location model

The `locations`

dataset records Brett's location every hour for 13 weeks. Each hour, the tracking information includes the `daytype`

(weekend or weekday) as well as the `hourtype`

(morning, afternoon, evening, or night).

Using this data, build a more sophisticated model to see how Brett's predicted location not only varies by the day of week but also by the time of day. The dataset `locations`

is already loaded in your workspace.

You can specify additional independent variables in your formula using the `+`

sign (e.g. `y ~ x + b`

).

Instructions

**100 XP**

- Use the R formula interface to build a model where location depends on both
`daytype`

and`hourtype`

. Recall that the function`naive_bayes()`

takes 2 arguments:`formula`

and`data`

. - Predict Brett's location on a weekday afternoon using the dataframe
`weekday_afternoon`

and the`predict()`

function. - Do the same for a
`weekday_evening`

.