![]() In this example, if an individual was 70 inches tall, we would predict his weight to be: We could use the equation to predict weight if we knew an individual's height. We could also describe this relationship with the equation for a line, Y = a + b(x), where 'a' is the Y-intercept and 'b' is the slope of the line. If we were to plot height (the independent or 'predictor' variable) as a function of body weight (the dependent or 'outcome' variable), we might see a very linear relationship, as illustrated below. For example, suppose that height was the only determinant of body weight. Regression analysis makes use of mathematical models to describe relationships. LaMorte, MD, PhD, MPH, Professor of Epidemiologyīoston University School of Public Health ![]() Lisa Sullivan, Professor of Biostatistics ![]()
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