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 regression line that is calculated by standard regression programs or by hand is called the least‑squares line because it:
a. minimizes the squared distances of the actual BMI percentiles from the regression line.
b. minimizes sum of the squared distances of the actual BMI percentiles from the regression line.
c. minimizes the distances of actual BMI percentiles from the regression line.
d. minimizes the sum of the distances of the actual BMI percentiles from the regression line.
option b is correct
b. minimizes sum of the squared distances of the actual BMI percentiles from the regression line.
A study of obesity risk in children in a head start program used a food score...
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...
All of the following questions are in relation to the following journal article which is available on Moodle: Parr CL, Magnus MC, Karlstad O, Holvik K, Lund-Blix NA, Jaugen M, et al. Vitamin A and D intake in pregnancy, infant supplementation and asthma development: the Norwegian Mother and Child Cohort. Am J Clin Nutr 2018:107:789-798 QUESTIONS: 1. State one hypothesis the author's proposed in the manuscript. 2. There is previous research that shows that adequate Vitamin A intake is required...