There is a csv file in $\text{'}../$data$/$primary$-$energy$-$consumption$-$by$-$region.csv$\text{'}$ that has the energy consumption of different regions of the world from $1965$ until $2018$ Our world in Data. Compare the energy consumption of the United States to all of Europe. Load the data into a pandas dataframe. Note: you can get certain rows of the data frame by specifying what you're looking for e$.$g$.$ EUR $=$ dataframe$[$dataframe$[\text{'}$Entity$\text{'}]==$'Europe'$]$ will give us all the rows from Europe's energy consumption.

a$.$ Plot the total energy consumption of the United States and Europe

b$.$ Use a linear least$-$squares regression to find a function for the energy consumption as a function of year

energy consumed $=$ f$($t$)=$At$+$B

c$.$ At what year would you change split the data and use two lines like you did in the land temperature anomoly? Split the data and perform two linear fits.

d$.$ What is your prediction for US energy use in $2025?$ How about European energy use in $2025?$