1. Obesity CurvesObesity Curves
By: Ernest Clifton, JosephBy: Ernest Clifton, Joseph
Lee, Cameron JenkinsLee, Cameron Jenkins

2. Dependent VariableDependent Variable
 Obesity over the past year has goneObesity over the past year has gone
up 1%.up 1%.
 Obesity needs to be contained beforeObesity needs to be contained before
it affects daily life for everyone.it affects daily life for everyone.

3. Independent VariablesIndependent Variables
 Fast food restaurants per 1,000Fast food restaurants per 1,000
residentsresidents
 Median IncomeMedian Income
 Percent CaucasianPercent Caucasian

4. Table 2Table 2
 Table 2: Regression of Obesity on Fast food per 1,000Table 2: Regression of Obesity on Fast food per 1,000
people, population Caucasian, and Median incomepeople, population Caucasian, and Median income
Variable b se 95% CI t
ObesityObesity 0.38 0.02 (0.32, 0.44) 12.83*
Number of fast
food restaurants
per 1,000
-0.08 0.02 (-0.13, -0.03) -3.37*
Percent
Caucasian
0.01 0.02 (-0.04, 0.08) 0.65
Median income -1.13 3.47 (-1.83, -4.37) -3.27*
Note. R2
= .42, adj. R2
= .39, F = 11.26, df = 3, 46 n = 50
*p < .05.

5. Visual 1Visual 1
Median Income vs. ObesityMedian Income vs. Obesity

6. Visual 2Visual 2
Number of Fast Food per 1,000 residents vs. ObesityNumber of Fast Food per 1,000 residents vs. Obesity

7. Visual 3Visual 3
ObesityObesity

8. SummarySummary
 Obesity is a major problem in today'sObesity is a major problem in today's
world as it causes many healthworld as it causes many health
problems. These statistics show thatproblems. These statistics show that
obesity and income have inverseobesity and income have inverse
relationships. Also obesity and fastrelationships. Also obesity and fast
food have inverse relationship. Lastlyfood have inverse relationship. Lastly
percent Caucasian and obesity havepercent Caucasian and obesity have
no correlation.no correlation.