Let's say that we want to understand the relationship between height, weight, age, and gender. We probably have some preconceived notions about how these variables relate to one another (for example, taller people probably tend to weigh more). Let's perform the following steps:
body.measures <- read.csv('nhanes_body.txt') attach(body.measures)
plot(age, height, xlab = 'Age', ylab = 'Height', main = 'Height vs Age')
The previous dataset has thousands of data points, so a ...