Use import sys. 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).Note: you will not need to upload the .csv to CodeGrade because I have pre-loaded it, but you will need to read in the 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))

The solution to the given question is: ALGORITHMS Step 1 : We have import pandas as pd from library…

Answered: Use import sys. Use the fastfood.csv…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Use import sys. 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).

Note: you will not need to upload the .csv to CodeGrade because I have pre-loaded it, but you will need to read in the 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))

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