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A Study of Obesity Risk in Children in a Head

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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 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.   Which feature, supported by the scatterplot, is important to determine if a linear regression model can be used? A) scatter of points around a straight line B) even spread at each value of food score C) correlation between BMI percentiles for subjects with similar food scores D) options (a) and (b) only Which feature, supported by the scatterplot, is important to determine if a linear regression model can be used?


A) scatter of points around a straight line
B) even spread at each value of food score
C) correlation between BMI percentiles for subjects with similar food scores
D) options (a) and (b) only

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