Total least squares regression is a reliable and efficient way to analyse the geometry of a best-fit plane through georeferenced data points. The suitability of the input data, and the goodness of fit of the data points to the best-fit plane are considered in terms of their dimensionality, and quantified using two parameters involving the minimum and intermediate eigenvalues from the regression, as well as the spatial precision of the data.