How to solve this 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))
How to solve this 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))
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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How to solve this
- 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))
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