Exercise

# Warming in Minneapolis?

The data frame `HDD_Minneapolis`

records the temperatures in Minneapolis, Minnesota, USA, for more than 100 years. A "heating-degree day" is the number of degrees below 65 degrees Fahrenheit each day.

`HDD_Minneapolis`

sums the heating-degree days for all the days in each month. Thus, winter months have much higher `hdd`

than summer months.

Instructions

**100 XP**

- Train the models provided in the editor.
- Evaluate the models using the training data as input.
- Calculate R-squared for each model by comparing the variance of the model output to the variance of the actual response variable. To think about: the model
`hdd ~ month`

captures the large majority of variance in the`hdd`

variable. What common sense explanation is there for this?