There is a common belief that the presence of residual spatial autocorrelation in OLS regression leads to inflated significance levels in beta coefficients, and in particular, inflated levels relative to the more efficient Spatial Errors (SE) model. However, simulations show that this is not always the case. Hence the purpose of this paper is to examine this question from a geometric viewpoint....