According to Sullivan, M. (2022), bivariate data is data gathered when measuring two variables of an individual. This type of data allows us to analyze and measure correlation. One tool for analyzing correlation is a scatter diagram. A scatter diagram is a graph that shows the relationship of the bivariate data. (Sullivan, M., 2022). Without running the data yet, I will guess that height and hair length will have some relation, although there might be no linear relation. I would expect the correlation to be close to zero which doesn't mean that there is no relation, just that there is no linear relation. (Sullivan, M., 2022). This would be a weak correlation. If there is a correlation, a causation could be genetics and/or health. An individual might be taller in height and have long hair because their predisposed to being tall genetically and, at the same time, have the right amount of nutrients or vitamins to stimulate hair growth. In this case, we would see a relationship between the two, but the causation could be multiple factors, making the variables not linearly related