Dear all,
for a project I want to examine the relationship between objective city-indicators and life satisfaction (LS). I obtained around 3000 individual LS-scores ranging from 0 to 10 for 15 cities and want to add the respective indicators for each in order to run a regression analysis. To do so, I collapsed the LS in two groups, ranging from 0-5 and 6-10, and calculated the average for each group for all cities before attaching the indicators, giving me 30 data points.
I had two questions:
Is it correct to run the regression for the low and high-LS category separately (otherwise it wouldn't make much sense for me mathematically speaking) and does anyone have worked on something similar and could suggest a good model I could use? I obviously tested some, but reg doesn't give me significant models while logit ologit don't seem to be reasonable choices, albeit the model is significant.
I would appreciate any help.
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