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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?