Hello All,
I ran OLS model before checking the variations of the relationship using GWR. The OLS model shows that Jarque-Bera value is not significant but BP value is significant. So I interpreted the OLS model need to check non-stationality by using GWR. However, there is no model biased problem.
The other model shows different statistical diagnostics (please see the below). My questions is are the following: if both BP and Jarque-Bera test are significant, GWR model could reduce model bias problem? If so, how can I check this in Arcgis?
Thank you and hope hear soon.
Number of Observations: 254 Number of Variables: 5
Degrees of Freedom: 249 Akaike's Information Criterion (AIC) [2]: 413.695641
Multiple R-Squared [2]: 0.385500 Adjusted R-Squared [2]: 0.375629
Joint F-Statistic [3]: 39.051951 Prob(>F), (4,249) degrees of freedom: 0.000000*
Joint Wald Statistic [4]: 132.866566 Prob(>chi-squared), (4) degrees of freedom: 0.000000*
Koenker (BP) Statistic [5]: 42.006323 Prob(>chi-squared), (4) degrees of freedom: 0.000000*
Jarque-Bera Statistic [6]: 20.054571 Prob(>chi-squared), (2) degrees of freedom: 0.000044*
