Question: Exercise 7.5 shows a regression model for predicting the average birth weight of babies based on all variables included in the dataset: length of pregnancy

Exercise 7.5 shows a regression model for predicting the average birth weight of babies based on all variables included in the dataset: length of pregnancy in days (gestation), mother's age in years (age), mother's height in inches (height), and mother's pregnancy weight in pounds (weight). The following plots show the relationships between the response and the numerical predictor variables, in addition to the relationships between the response and two categorical predictor variables.

Birthweight (oz) 180 160- 140- 120 100 180 160- Birthweight (oz) 140-

120 100 80- 80 60 60 not first born first born nonsmoker

smoker Birth Order Mother Smoking Status

(a) Examine the relationship between the response variable and the predictor variables. Describe what you see. Which predictor variables seem like they would be useful to include in an initial model?

(b) Identify any predictors that seem related to each other.

Data From Exercise 7.5

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Data From 3.7

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Birthweight (oz) 180 160- 140- 120 100 180 160- Birthweight (oz) 140- 120 100 80- 80 60 60 not first born first born nonsmoker smoker Birth Order Mother Smoking Status

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