Question

One data set contains two non-consecutive (two randomly picked) years of average monthly temperatures (in Celsius) for 51 US cities. Another data set contains electricity usage (in hundreds of gigawatt hours, Gwh) for those cities (rows) during those two years' months (columns). The third data set contains average monthly temperatures (in Celsius) for Denver in a random 3rd year; you'll be predicting the energy usage based on this third data set.

 

 

I'm very confused on how to go about doing this. Any advice is appreciated. I'm using R Code for this.