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

Linear Algebra: A Modern Introduction
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Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
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please solve all parts( A- E)  by using R studio 

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.
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
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