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)


Model version 2:  QM_1<-glm(HB_NHB~elev+costdis1,data=glm_2,family=binomial(link=logit))
summary(QM_1)


The call in version 2 has changed:  
Call:
glm(formula = HB_NHB ~ elev + costdis1, family = binomial(link = logit), 
    data = glm_2)
But I’m getting the exact same results as I did in the model where costdis1 is squared.

Any ideas what I might do to correct this?  Thank you.

Sally
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