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Regression analysis can estimate the magnitude of the impact of a change in one variable or another (Holmes et al., 2017). If regression analysis were to be completed on BMI, an independent variable associated with that would be height and weight. The size and weight are how the BMI is calculated. Usually, as we get older, the amount of body fat increases. This could be because we typically become less active as we age. Additionally, females usually have a higher percentage of body fat than males. Other independent variables included in the analysis would be sex, age, diet, body type, and disease processes. A statistic that will show the value of BMI regression would be physical activity. Typically, the more physical activity a person gets, the lower their BMI.
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