I hope you all don't mind this question, but I need help interpreting output for a linear mixed effects model output I've been trying to learn to do in R. I am new to longitudinal data analysis and linear mixed effects regression. I have a model I fitted with weeks as the time predictor, and score on an employment course as my y. I modeled score with weeks (time) and several fixed effects, sex and race. My model includes random effects. I need help understanding what the variance means. The output is the following:
 
 
Random effects
Group     Name        Variance
EmpId     intercept     980.236
                weeks           13.562
 Residual                      23.256
 
I really appreciate the help.  Thanks.
 
 
Zeda 
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