The first point is to include the error margins on the results - or they are meaningless.
Dont put the coefficients without the SD or intervals - are the coefficients different from 0
model fit (r^2 etc) can go in model validation 2.6
You dont need the T-values, just the p-values and Standard error
For each of the models:
What are the Baseline regions and years. Describe the baseline. Talk about the baseline year and region. How are they chosen and how are coefficents compared to them (How they are created goes into the methods). Everything is compared to these baselines.
Show them how the effects change!! Over time and over regions.
Without standard errors you cant tell the difference
Of course the coefficients are different if the response is different.
Only compare coefficients within a model not between hem.
Standard Error!!
Model 3 motivates model 4 - area informs model 3 and is damped by the effects of water used and emissions.
The first point is to include the error margins on the results - or they are meaningless.
For each of the models:
Without standard errors you cant tell the difference Of course the coefficients are different if the response is different. Only compare coefficients within a model not between hem.
Standard Error!!
Model 3 motivates model 4 - area informs model 3 and is damped by the effects of water used and emissions.