I am using R and I have been analysing my data with GLM with Binomial link.
I want to know what is the meaning of the intercept in the output table. The intercept for one of my models is significantly different, however the variable is not. What does this mean?
What is the intercept. I don't know if I am just confusing myself but having searched the internet, there is nothing just saying, it is this, take notice of it...or don't.
Please help, a very frustrated student
glm(formula = attacked_excluding_app ~ treatment, family = binomial, data = data) Deviance Residuals: Min 1Q Median 3Q Max -2.3548 0.3593 0.3593 0.3593 0.3593 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 2.708 1.033 2.622 0.00874 ** treatmentshiny_non-shiny 0.000 1.461 0.000 1.00000 (Dispersion parameter for binomial family taken to be 1) Null deviance: 14.963 on 31 degrees of freedom Residual deviance: 14.963 on 30 degrees of freedom (15 observations deleted due to missingness) AIC: 18.963 Number of Fisher Scoring iterations: 5