The Analysis of Childhood Obesity
Obesity is the accumulation and storage of excessive fat in the body. According to Center for Disease Control and Prevention (CDC), Obesity is any weight that is bigger than what is typically considered healthy for a given height. (CDC, 2009). The imbalance between caloric consumption and expenditure is what causes obesity in children and adults. There are factors that affect obesity. Such factors are biological, behavioral, and environmental in nature. ...view middle of the document...
Ŷ is the value of the dependent variable pending the value of the independent variables. The value of the Y intercept is when all the independent variables are equal to zero and is represented by “a”. The “b” values (b1, b2, b3, b4) are the coefficients of the independent variables. The independent variables are identified by X1, X2, X3, and X4.
The equation’s dependent variable is childhood obesity, identified by Y (hat). The variable of age will show a positive relationship, gender will show a positive relationship, where boys more than girls show more of a higher relation, and family income will show a positive relationship with childhood obesity. The dependent variable is defined as children between the ages of 2-19 and the measurement was in percentages between the years of 1963-1965 and 2009-2010. The breakdown of age groups was 2-5, 6-11, and 12-19. (Note: Children aged 2–5 years were not included in surveys done in the 1960s). The splatter plot shows an increase in obesity that has occurred since 1976–1980. Among preschool children aged 2–5 years, obesity increased from 5.0% to 12.1% between 1976–1980 and 2009–2010; it increased from 6.5% to 18.0% among those aged 6–11. Among adolescents aged 12–19, obesity increased from 5.0% to 18.4% during the same period. (www.CDC.gov, 2012, Table 1).
The first independent variable is age, which represents X1. The diagram shows over the past four decades there is a distinct, positive, direct relationship of obesity in children. As the years increased so did obesity.
The second independent variable is gender (girls), which represents X2. Gender can be used as a dummy variable, but in this analysis was used to differentiate the findings between boys and girls. Percentages were used for data of all girls between the years 1963-1965 through 2009-2010. As a reminder, between the years of 1963-1965 children between the ages of 2-5 were not included in research data. Below is the diagram of the girls, depicting the slight decrease from the boy’s diagram. The linear line is showing a positively significant steady increase as the years progressed. There was no significant trend in the girls data, but the there was a slight decline in 2010. (SOURCES: CDC/NCHS, NHES and NHANES), Prevalence of Obesity Among Children, 2012, Table 1).
The second independent variable is gender (boys), which represents X3. Gender can also be used as a dummy variable, but in this analysis was used to differentiate the obesity findings between the boys and girls. The data is taken from 1963-1965 and 2009-2010 as percentages in which was used for the analysis. The relationship of all boys and obesity shows a strong positive direct relationship. The linear line shows an upward rise as the years increase. Between 1976–1980 and 2009–2010, the prevalence of obesity increased. However, between 1999–2000 and 2009–2010, no significant trend was observed in...