Test for Homoskedasticity
When the Koenker test is statistically significant, it indicates relationships between some or all of your explanatory variables and your dependent variable are non-stationary.
This means, for example( lm(calls ~ pop) ), that the population variable might be an important predictor of 911 call volumes in some locations of your study, but perhaps a weak predictor in other locations.(heteroskedasticity)
Whenever you notice that the Koenker test is statistically significant, it indicates you will likely improve model results by moving to Geographically Weighted Regression.
