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That is, too high caloric intake and too low caloric consumption. A lot of researches about obesity have focused on factors that lead to this imbalance. This paper will basically examine the relationship between obesity and exercise (duration of exercise). Some statistical results suggest that exercise has a negative and statistically significant effect on the probability of being obese. However, taking into consideration the potential endogeneity of exercise duration in the BMI regressions, some studies suggests that there is no negative relationship between obesity and exercise (Plowman & Smith, 2008).
Studies that have been carried out to determine the relationship between obesity and exercise; and quite a number of the studies have resulted in general results that obesity is negatively related to the duration of exercise. The studies have generalized a sample to a population. Assumptions are vital concept of empirical studies. Just like any other empirical study, this study applies some statistical assumptions in order to achieve the much needed results. These assumptions include:
The following statistical tools can be useful in determining the relationship between obesity and exercise. Correlation techniques can be used to determine the relationship between obesity and exercise. The independent variable of the study is exercise while the dependent variable is obesity. The study can mainly duel on correlation and regression for data analysis. The analysis may involve getting the correlation and regression coefficients for both the variables that affect obesity and that influence duration of income. Correlation coefficient is important in showing whether and how strongly age and income status are related. The study is linear in nature hence Pearson product-moment correlation coefficient can be used to determine the strength and direction of the linear relationship between exercise and obesity. The value of Pearson’s correlation coefficient is influenced
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(BBC News, 2007)
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