Exercise 9.3 presents a regression model for predicting the average birth weight of babies based on length
Question:
Exercise 9.3 presents a regression model for predicting the average birth weight of babies based on length of gestation, parity, height, weight, and smoking status of the mother. Determine if the model assumptions are met using the plots below. If not, describe how to proceed with the analysis.
Data from Exercise 9.3
We considered the variables smoke and parity, one at a time, in modeling birth weights of babies in Exercises 9.1 and 9.2. A more realistic approach to modeling infant weights is to consider all possibly related variables at once. Other variables of interest include length of pregnancy in days (gestation), mother's age in years (age), mother's height in inches (height), and mother's pregnancy weight in pounds (weight). Below are three observations from this data set.
The summary table below shows the results of a regression model for predicting the average birth weight of babies based on all of the variables included in the data set.
Step by Step Answer:
OpenIntro Statistics
ISBN: 9781943450077
4th Edition
Authors: David Diez, Mine Çetinkaya-Rundel, Christopher Barr