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RISK FACTORS FOR LOW BIRTH WEIGHT Problem Low birth weight is an outcome that has been of concern to physicians for years.



Low birth weight is an outcome that has been of concern to physicians for years. This is due to the fact that infant mortality rates and birth defect rates are very high for babies with low birth weight. A woman's behavior during pregnancy (including diet, smoking habits, and obtaining prenatal care) can greatly alter her chances of carrying the baby to term and, consequently, of delivering a baby of normal birth weight. 

In this exercise, we will use a 1986 study (Hosmer and Lemeshow (2000), Applied Logistic Regression: Second Edition) in which data were collected from 189 women (of whom 59 had low birth weight infants) at the Baystate Medical Center in Springfield, MA (an academic, research, and teaching hospital that serves as the western campus of Tufts University School of Medicine and is the only Level 1 trauma center in western Massachusetts). The goal of the study was to identify risk factors associated with giving birth to a low birth weight baby.

Click the Questions tab to see the questions about this problem that we will try to answer, and the Variables tab to see the variables in our dataset.


LOW: Low birth weight (0=No (birth weight >= 2500 g) 1=Yes (birth weight < 2500 g)

AGE: Age of mother (in years)

LWT: Weight of mother at the last menstrual period (in pounds)

RACE: Race of mother (1=White, 2=Black, 3=Other)

SMOKE: Smoking status during pregnancy (0=No, 1=Yes)

PTL: History of premature labor (0=None, 1=One, etc.)

HT: History of hypertension (0=No, 1=Yes)

UI: Presence of uterine irritability (0=No, 1=Yes)

BWT: The actual birth weight (in grams)


Q1. Do the data provide evidence that the occurrence of low birth weight is significantly related to whether or not the mother smoked during pregnancy?

Q2. Do the results of the study provide significant evidence that the race of the mother is a factor in the occurrence of low birth weight?

Before choosing the appropriate analyses, it is helpful to: Identify the relevant variables:

Which variable(s) among those listed below is/are particularly relevant to the current question?

Hint, displayed below

Hint: Read the current question again, and think which of the variables among those listed should be looked at in order to answer this question. Remember to check all variables that are relevant to the current question.











I can't figure out which variables of these variables would work. I have tried everything and it doesn't work, If someone could help I would appreciate it!

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