Learn R Programming

Lock5Data (version 2.6)

BodyFat: Body Measurements

Description

Various body measurements for a sample of 100 men to build models to predict percent body fat.

Arguments

Format

A dataset with 100 observations on the following 10 variables.

Bodyfat Percent body fat
Age Age (in years)
Weight Weight (in pounds)
Height Height (in inches
Neck Neck circumference (in cm)
Chest Chest circumference (in cm)
Abdomen Abdomen circumference (in cm)
Ankle Ankle circumference (in cm)
Biceps Biceps circumference (in cm)
Wrist Wrist circumference (in cm)

Details

The percentage of a person's weight that is made up of body fat is often used as an indicator of health and fitness. However, accurate methods of measuring percent body fat are difficult to implement. One method involves immersing the body in water to estimate its density and then applying a formula to estimate percent body fat. An alternative is to develop a model for percent body fat that is based on body characteristics such as height and weight that are easy to measure. The dataset BodyFat contains such measurements for a sample of 100 men.