This is probably a simple question but I am new and learning so please work with me! I have run a nominal logistic regression in JMP pro. My data was binary resprout (y=1 / no=0) and 3 tree types (A, B, C). I am now looking at the output and wondering what is necessary to confirm that the relationship between tree type and resprouting is significant. Is it the "Whole model test," the "Parameter estimates," or the "Effect likelihood ratio test?" Also, why does the "Parameter estimates" only have 2 of my tree types and has added something called "Intercept?"
Thank you in advance for any and all help!