Hi everyone!
I am currently working on a project that used secondary data and struggle a bit with the interpretation of the results
Array
How I see it: This model fits the data well at the .05 significance level (F=15.77 and p<.0000). R2 of .8184 says that this model accounts for 81.84% of the total variance for the dependent variable.
However, the variables included have no significance in explaining the dependent variable except for egov_hci. How is this aligned/ works with the overall fit of the model?
Does this mean that the variables are suitable for explaining the variation but insignificant in doing so, at least for the timeframe of the current group?
Also, the two-way time fixed effect is quite hard to interpret but relevant for the present study. Any pointer on what is important to report?
Thank you in advance for any insights you may be able to offer me.
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