Need a hand analysing a model which I've built. I've built a model which analyses the effects of a number of variables on the chances that someone quits smoking. The output of the model is as follows:
I want to run anova on the model using Chi squared. The current way I am doing this is as follows, where each term is added sequentially:
As well as the effect of dependance, I also want to see the effect of each other variables in the same way so that they're able to be compared. At the moment, if I am to This means that I need to do one of the following:
- Do anova, adding each term first sequentially. At the moment, the only way I can think to do this is to write a new model for each variable, adding this variable in first e.g.
- Run anova, but add each term comparing the model with it to the model without it. How I do this I'm not sure though...
Any help or advice on how to achieve any of these would be great! Please ask for any more details!