Hello everybody,
I am making a cross classified multilevel model, using the mixed command for a sport racing competition (Formula 1), to evaluate how the points obtained in a given race by the driver and the team vary. I think I have no problems as I use the following regression in the simple version without controlling for other factors (if it is wrong I would appreciate help to improve the specification):
mixed zPoints || Driver: || Team: || TeamYear:, mle variance
My question is how can I then get the residuals for each driver and team individually, as my goal is to be able to determine who is the best driver ever and the best team. I understand that the driver and team with higher residuals would have a greater influence on the results according to the dependent variable.
Thank you very much for your help.
I am making a cross classified multilevel model, using the mixed command for a sport racing competition (Formula 1), to evaluate how the points obtained in a given race by the driver and the team vary. I think I have no problems as I use the following regression in the simple version without controlling for other factors (if it is wrong I would appreciate help to improve the specification):
mixed zPoints || Driver: || Team: || TeamYear:, mle variance
My question is how can I then get the residuals for each driver and team individually, as my goal is to be able to determine who is the best driver ever and the best team. I understand that the driver and team with higher residuals would have a greater influence on the results according to the dependent variable.
Thank you very much for your help.
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