Use and misuse of the reduced major axis for line-fitting.

@article{Smith2009UseAM,
  title={Use and misuse of the reduced major axis for line-fitting.},
  author={Richard J Smith},
  journal={American journal of physical anthropology},
  year={2009},
  volume={140 3},
  pages={476-86}
}
Many investigators use the reduced major axis (RMA) instead of ordinary least squares (OLS) to define a line of best fit for a bivariate relationship when the variable represented on the X-axis is measured with error. OLS frequently is described as requiring the assumption that X is measured without error while RMA incorporates an assumption that there is error in X. Although an RMA fit actually involves a very specific pattern of error variance, investigators have prioritized the presence… CONTINUE READING
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