headcirum length ww NNN! MFM 22221 OOOONGGOOOONNN GOOOOOOOO. 2220 2 2222 LowBirthWeight Norma 1 Low Norm Screenshot 0 Normal Normal 0 Normal 0 Normal Normal 0 Normal 0 Normal 0 Normal Normal 10 Normal 0 Normal 0 Normal 0 Normal 722227 0 Normal 0 Normal 0 Normal Normal 0 Normal 0 Normal 1 Normal Normal 0 Normal 0 Normal 0 Normal 0 Norma O the birthweights.csv dataset. This contains information about various pregnancy outcomes related paternal and maternal attributes. (a) Consider the variables LowBirth Weight and Birthweight (in pounds). What type of data are these variables? Are they attempts to measure the same attribute? (b) Write out a model that seeks to predict the birth weight of an infant as a function of some predictor variables available in the dataset. Also provide 2 confounding factors that are not available in the dataset that may limit the utility of such a model. (c) Construct a histogram of birth weights for the mother smoking group, and a seperate his- togram for the mother non-smoking group. (d) Based on your answer to (c), compute an appropriate measure of center and dispersion for each group and comment on an differences that exist. (e) Which variable is more continuous, fage (father's age) or mnocig (mother's number of cigarettes). Explain how you've determined that.
headcirum length ww NNN! MFM 22221 OOOONGGOOOONNN GOOOOOOOO. 2220 2 2222 LowBirthWeight Norma 1 Low Norm Screenshot 0 Normal Normal 0 Normal 0 Normal Normal 0 Normal 0 Normal 0 Normal Normal 10 Normal 0 Normal 0 Normal 0 Normal 722227 0 Normal 0 Normal 0 Normal Normal 0 Normal 0 Normal 1 Normal Normal 0 Normal 0 Normal 0 Normal 0 Norma O the birthweights.csv dataset. This contains information about various pregnancy outcomes related paternal and maternal attributes. (a) Consider the variables LowBirth Weight and Birthweight (in pounds). What type of data are these variables? Are they attempts to measure the same attribute? (b) Write out a model that seeks to predict the birth weight of an infant as a function of some predictor variables available in the dataset. Also provide 2 confounding factors that are not available in the dataset that may limit the utility of such a model. (c) Construct a histogram of birth weights for the mother smoking group, and a seperate his- togram for the mother non-smoking group. (d) Based on your answer to (c), compute an appropriate measure of center and dispersion for each group and comment on an differences that exist. (e) Which variable is more continuous, fage (father's age) or mnocig (mother's number of cigarettes). Explain how you've determined that.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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