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Hi I have a dataset where I have P number of predictors. One of the predictors is "Color". Color is always either "Green" or "Red". In the results of the glm call - which was btw - glm(target ~ color + age, data = d, family = binomial(logit)) - only "colorGreen" is there and it is not statistically significant. Why does "colorRed" not have a row in the results?

Edit: I am not looking for general logistic regression help. This question is not a duplicate for another question that is a general question. This is a specific question.

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  • $\begingroup$ If it did, you would have three rows, right? Could you explain the meanings of those three parameters when there are only two categories? $\endgroup$ – whuber♦ Mar 3 '16 at 18:30
  • $\begingroup$ I'm sorry what does "if it did" refer to? $\endgroup$ – uhhh_big_mike_boiii Mar 3 '16 at 18:33
  • $\begingroup$ The last line of your question: if "colorRed" had a row, you would have estimated three coefficients. Could you say what they all mean? $\endgroup$ – whuber♦ Mar 3 '16 at 18:36
  • $\begingroup$ I would have estimated that there would be two rows that pertain to color. I would have estimated there would be a colorRed row and a colorGreen row. There is only a colorGreen row. I am wondering why colorRed is not in results. $\endgroup$ – uhhh_big_mike_boiii Mar 3 '16 at 18:43
  • $\begingroup$ The answers to the duplicate explain that. $\endgroup$ – whuber♦ Mar 3 '16 at 18:44