bodyfat dataset

The dataset records body‑fat percentage, age, weight, height, and ten body‑circumference measurements (e.g., waist) for 252 male subjects. Body‑fat, a health indicator, is accurately estimated via underwater weighing. By applying multivariate regression, body‑fat can be predicted using only a scale and a measuring tape, providing a convenient method for estimating male body‑fat.

Updated 11/19/2021

github

Description

Dataset Overview

Dataset Name

BODY‑FAT‑ESTIMATION

Dataset Content

Contains data from 252 males.
Records the following metrics:
- Body‑fat percentage
- Age
- Weight
- Height
- Ten body‑circumference measurements (e.g., abdominal circumference)

Intended Use

Using multivariate regression, fit body‑fat percentages with other measurements, enabling estimation of male body‑fat using only a scale and a measuring tape.

Dataset Characteristics

Body‑fat percentages are accurately estimated through underwater weighing.

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Topics

Health Monitoring

Data Analysis

Source

Organization: github

Created: 11/19/2021

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