Task 1: Load the csv file into Python environment and get the required columns to be used as x and y. Task 2: Use correlation coefficient to find and discuss the following:1. Relationship between maternal height and baby length. 2. Relationship between mother’s pre-pregnancy weight and baby weight. Task 3: Use linear regression to find and discuss the following: 1. Can father’s height predict baby length? This dataset “Birthweight_reduced_kg_R" containsinformation on new born babies and their parents. In thefollowing a description of each variable is given:NameVariableBaby numberLength of baby (cm)IDlengthBirthweightWeight of baby (kg)headcirumference Head CircumferenceGestation (weeks)Mother smokes 1 = smoker 0 = non-smokerMaternal ageGestationsmokermotherageNumber of cigarettes smoked per day bymnocigmothermheightMothers height (cm)mppwtfageMothers pre-pregnancy weight (kg)Father's agefedyrsFather's years in educationXXXX>Number ofcigarettes smokedper day byfnocigfatherFather's height (kg)Low birth weight, 0 = No and 1 = yesfheightlowbwtmage35Mother over 35, 0 = No and 1 = yes

import pandas as pdimport numpy as np data = pd.read_csv("Birthweight_reduced_kg_R.csv")

Answered: Task 1: Load the csv file into Python…

Computer Networking: A Top-Down Approach (7th Edition)

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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Task 1: Load the csv file into Python environment and get the required columns to be used as x and y. Task 2: Use correlation coefficient to find and discuss the following: 1. Relationship between maternal height and baby length. 2. Relationship between mother’s pre-pregnancy weight and baby weight. Task 3: Use linear regression to find and discuss the following: 1. Can father’s height predict baby length?