A Study of Obesity Risk in Children in a Head

Multiple Choice

A study of obesity risk in children in a head start program used a food score calculated from a 45-question food survey to predict body mass index (BMI) percentile in these children 18 months after the initial survey. The study enrolled 20 children. The researchers used a linear regression model for the prediction of BMI percentile. The food scores ranged from 45 to 245. The linear regression had slope = 0.29 and intercept = 18.3. The average BMI percentile for a child with food score 150 equals 61.8, and an individual child with food score 150 will be predicted to have a BMI percentile of:

A) 18.3.
B) 61.8.
C) 80.1.
D) 43.5.