A medical researcher studies obesity in adolescent girls. Because body fat percentage is difficult and expensive to measure directly, the researcher wants to determine whether the body mass index (BMI)—a measurement that is easy to take—is a good predictor of body fat percentage. The researcher collects BMI, body fat percentage, and other personal variables of 92 adolescent girls.
You can use this data to demonstrate Scatterplot, Marginal Plot, Correlation, and other analyses that explore the relationship between two measurement variables.
|BMI||The body mass index of each girl|
|%Fat||The body fat percentage of each girl|
|Activity||The average daily activity level of each girl: high, medium, or low|
|Menarche||Whether the girl has achieved menarche: Yes or No|