Bootstrap for bivariate data
Bootstrap sampling can be used to obtain an approximate error distribution in any situation where individuals are randomly sampled from a population. Again we start with a sample of n individuals — our actual data. Each bootstrap sample is a random sample with replacement of n of these individuals.
Bivariate data can fit into this framework. Using bootstrap sampling, we can approximate the error distribution of the correlation coefficient between two numerical variables.
Abdomen and hip circumference