Since you didn't provide a reproducible example, here are a couple of
possibilities to check, but I have utterly no idea if they're
applicable to your problem or not:
* does costdis1 consist of 0's and 1's?
* is costdis1 a factor?
In the first model, you treat costdis1 as a pure quadrat
On Nov 7, 2011, at 10:58 AM, Sally Ann Sims wrote:
Hello,
I am working on fitting a logistic regression model to my dataset.
I removed the squared term in the second version of the model, but
my model output is exactly the same.
Model version 1: GRP_GLM<-glm(HB_NHB~elev
+costdis1^2,da
Hello,
I am working on fitting a logistic regression model to my dataset. I removed
the squared term in the second version of the model, but my model output is
exactly the same.
Model version 1:
GRP_GLM<-glm(HB_NHB~elev+costdis1^2,data=glm_1,family=binomial(link=logit))
summary(GRP_GLM)
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