In the following statsmodels assignments, some information in the 'Expected output' portion uses regular expressions to allow for more flexibility in answers. Any expected output with curly braces (e.g., .{0,}71.73) is a regular expression, and you only need the non-curly braces portion to get credit (e.g., 71.73). Do not attempt to have the regular expression as your output. You can use the library Pandas to load the .csv files. fastfood.py Use the fastfood.csv file to complete the following assignment. Create a file, fastfood.py, that loads the .csv file and runs a regression predicting calories from total_fat, sat_fat, cholesterol, and sodium, in that order. Add a constant using sm.add_constant(data). Then, print the following to two decimals print(model.mse_total.round(2)) print(model.rsquared.round(2)) print(model.params.round(2)) print(model.pvalues.round(2))