You were asked to help with analysis of birth weights (BW) of 10,000 infants born in NYC during a certain period of time.The aim of the analysis is to see whether the birth weights of the infants are associated with mothers AGE at birth (continuous variable in years) and mothers smoking status (the maternal smoking status MSS contains 4 categories “Non-smoker”, “Past-smoker”, “Passive-smoker”, “Smoker”) and NYC boroughs (the BOROUGH variable contains 5 categories “Manhattan”, “Bronx”, “Brooklyn”, “Queens” and “Staten Island”). How many dummy variables do you need to create to analyze the effect of MSS? Select “Non-smokers” as a reference category. Write out all the dummy variables.
You were asked to help with analysis of birth weights (BW) of 10,000 infants born in NYC during a certain period of time.The aim of the analysis is to see whether the birth weights of the infants are associated with mothers AGE at birth (continuous variable in years) and mothers smoking status (the maternal smoking status MSS contains 4 categories “Non-smoker”, “Past-smoker”, “Passive-smoker”, “Smoker”) and NYC boroughs (the BOROUGH variable contains 5 categories “Manhattan”, “Bronx”, “Brooklyn”, “Queens” and “Staten Island”).
- How many dummy variables do you need to create to analyze the effect of MSS? Select “Non-smokers” as a reference category. Write out all the dummy variables.
This analysis aims to investigate the association between birth weights (BW) of 10,000 infants born in NYC during a certain period of time, and the mothers' age at birth (continuous variable in years) and maternal smoking status (MSS) as well as the NYC boroughs (BOROUGH). For the maternal smoking status (MSS), we will create dummy variables to analyze the effect of MSS, selecting “Non-smokers” as a reference category.
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