I am currently employing GWR to analyze the following relationship:
average travel time of an area = distance of it from the city centre + income of an area
Further to note, correlation between time and distance is high, between time and income is low but significant. I performed an OLS and autocorrelation is seen in the residuals. Standard score is used for all the variables.
I ran the regression model in ArcGIS Pro, and a very high R2 value (0.9) results. However, it is seen that the intercepts generated by the model vary a lot (in my case, from -2 to 2) when coefficients are plotted, compared to the other two variables (distance and income) which shows reasonable ranges.
My question is - With such high variation on the intercept, how can I interpret this model (and the intercept)?