I'm somewhat confused about regression models. I decided to create a GWR model for a project using 35 polygons of health data. However I find now that my model has flaws and I cannot create a GWR model probably because the dataset is too small.
When creating a OLS are we meant to remove all variables that are related? if I'm modelling obesity, I would think that income, exercise are factors that relate to it so what purpose does the OLS model serve? I created a model after removing auto correlated variables but I'm kind of confused as to what its meant to be showing.
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