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. A regression model has:
A)one unknown parameter to be estimated.
B)two unknown parameters to be estimated.
C)three unknown parameters to be estimated.
D)four unknown parameters to be estimated.

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The Answer of 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. A regression model has:
A)one unknown parameter to be estimated.
B)two unknown parameters to be estimated.
C)three unknown parameters to be estimated.
D)four unknown parameters to be estimated.

A Study of Obesity Risk in Children in a Head