New study reveals best method for fitting lines through data
The best method for studying allometry is using ordinary least squares (OLS) regression on data with low measurement error. While reduced major axis (RMA) regression is often suggested, it has drawbacks. OLS is more reliable and easy to correct for any errors that may arise. It's better to account for any measurement error in the data rather than using RMA regression.