Use the sacramento.csv file to complete the following assignment. Create a file, sacramento.py, that loads the .csv file and runs a logistic regression. The regression should predict whether or not a house has 1 or more than one bathroom based on beds, sqft, and price, in that order. Note: you will not need to upload the .csv to CodeGrade because I have pre-loaded it.You will need to create a new variable from baths, and it should make it such that those observations of 1 bath correspond to a value of 0, and those with more than 1 bath correspond to a 1.Make sure to add a constant using sm.add_constant(X)Your file should print the results in this way: print(mod.params.round(2))print(mod.pvalues.round(2))print('The smallest p-value is for sqft')

Simple regression toward the mean K-NN isn't the sole kind of regression; another quite helpful, and…

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7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Use the sacramento.csv file to complete the following assignment. Create a file, sacramento.py, that loads the .csv file and runs a logistic regression. The regression should predict whether or not a house has 1 or more than one bathroom based on beds, sqft, and price, in that order. Note: you will not need to upload the .csv to CodeGrade because I have pre-loaded it.
You will need to create a new variable from baths, and it should make it such that those observations of 1 bath correspond to a value of 0, and those with more than 1 bath correspond to a 1.
Make sure to add a constant using sm.add_constant(X)
Your file should print the results in this way:

print(mod.params.round(2))

print(mod.pvalues.round(2))

print('The smallest p-value is for sqft')

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