If a regression analysis was to be completed on body mass index (BMI), what could be an independent variable in that analysis? Why? If we could, what other independent variables should be included in the analysis? What statistic(s) would show the value of that regression in understanding BMI?

Alternatively, find an article that uses regression analysis to study a medical concern. In that study, what was the dependent variable and what were the independent variable(s)? Further, how would you use this study to highlight the difference between correlations and causation?

Solution:

Regression analysis is regarded as one of the most powerful statistical methods that allows one to examine the relationship that exists between two or more variables of interest. According to Bennett, Briggs, and Triola (2018), regression analysis typically includes a wide range of techniques for modeling as well as analyzing several variables while focusing on the relationship that exists between a dependent variable and one or more independent variables. Taking this into account, if a regression analysis was to be completed on body mass index, it is with no doubt that the dependent variable would be the BMI. The independent variables may be age, diet, and gender among others. This is due to the fact that these variables affect BMI. Calculating the relationship between BMI and any of the…………Please click the Paypal icon below to purchase full solution for only $5