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Babies Born with Low Birth Weights (Less Than 2500 Grams)

Question 4

Multiple Choice

Babies born with low birth weights (less than 2500 grams) are at an increased risk for many infant diseases. Researchers in North Carolina collected data to see what variables may influence the birth weight (in grams) of a child, including whether the mother drank alcohol during pregnancy, whether the mother smoked during pregnancy, the mother's age (years) , the gestation of the pregnancy (number of weeks from conception until birth) , the mother's race, the length of the birth (hours) , and several others. The plot below summarizes some of the variables measured. Babies born with low birth weights (less than 2500 grams)  are at an increased risk for many infant diseases. Researchers in North Carolina collected data to see what variables may influence the birth weight (in grams)  of a child, including whether the mother drank alcohol during pregnancy, whether the mother smoked during pregnancy, the mother's age (years) , the gestation of the pregnancy (number of weeks from conception until birth) , the mother's race, the length of the birth (hours) , and several others. The plot below summarizes some of the variables measured.   -Does the association between gestation period and birthweight appear to depend on smoking status? A)  Yes, since the regression line for non-smokers is higher than the regression line for smokers. B)  Yes, since the regression line for non-smokers would have a higher y-intercept than the regression line for smokers. C)  No, since the regression line for non-smokers and the regression line for smokers have similar slopes. D)  No, since the sample sizes of smokers and non-smokers are similar.
-Does the association between gestation period and birthweight appear to depend on smoking status?


A) Yes, since the regression line for non-smokers is higher than the regression line for smokers.
B) Yes, since the regression line for non-smokers would have a higher y-intercept than the regression line for smokers.
C) No, since the regression line for non-smokers and the regression line for smokers have similar slopes.
D) No, since the sample sizes of smokers and non-smokers are similar.

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