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.
Capital value and monthly rental of domestic properties