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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.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.2: Box-and-whisker Plots
Problem 1E
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by using R studio , do parts A-b

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
Transcribed Image Text: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.
Transcribed Image Text: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.
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