A common way to analyse data such as those collected in scaling is to use log-transformation. There are two reasons for log transformation—a biological reason and a statistical reason. Log-log transformation places numbers into a geometric domain so that proportional deviations are represented consistently, independent of the scale and units of measurement. In biology this is appropriate because many biological phenomena (e.g. growth, reproduction, metabolism, sensation) are fundamentally multiplicative. Statistically, it is beneficial to transform both axes using logarithms and then perform a linear regression. This will normalize the data set and make it easier to analyse trends using the slope of the line. Before analysing data though, it is important to have a predicted slope of the line to compare the analysis to.