So, in this case, Y=total cholesterol and X=BMI. In regression analysis, the dependent variable is denoted Y and the independent variable is denoted X. Suppose we want to assess the association between total cholesterol and body mass index (BMI) in which total cholesterol is the dependent variable, and BMI is the independent variable. Interested readers should see Kleinbaum, Kupper and Muller for more details on regression analysis and its many applications. It can also be used to assess the presence of effect modification. As a result, it is particularly useful for assess and adjusting for confounding. Regression analysis is a widely used technique which is useful for evaluating multiple independent variables.
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