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Im new to stats/R and have just started a course on generalized linear models and am a little confused. Im comparing two gamma glms using analysis of deviance to see whether m0 is a reasonable simplification of m1. I also need to test whether or not the two predictors ajwtr and perypc are not significant at a 5% level, however I'm having trouble interpreting my output. enter image description here

enter image description here

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if anyone could explain how to interpret the output to me that would be very helpful!

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  • $\begingroup$ Why are you taking the exponential of your outcome and using an identity link? $\endgroup$
    – Demetri Pananos
    Commented Apr 25, 2020 at 2:26
  • $\begingroup$ that's just the way the example was done $\endgroup$
    – user282587
    Commented Apr 25, 2020 at 3:05
  • $\begingroup$ is it possible for you to narrow down on which parts you have problems with? The analysis of deviance is like a likelihood ratio test, you can check stats.stackexchange.com/questions/69664/… $\endgroup$
    – StupidWolf
    Commented Apr 25, 2020 at 11:01

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