If not identified and modeled correctly, spatial correlation could cause substantial errors in both the regression coefficients and their standard errors.
Errors in regression coefficients and standard errors can throw off the results of a study and void the results. 
mnli hypothesis: Errors in regression coefficients and standard errors can throw off the results of a study and void the results.  premise: If not identified and modeled correctly, spatial correlation could cause substantial errors in both the regression coefficients and their standard errors.