Covariance Parameters (generalized linear mixed models)

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The variance estimate for the residual effect is larger in the linear regression than in the linear mixed model. Given the information criteria and −2LL statistics, we expected the amount of variation left unexplained by the linear regression to be greater than the variation unexplained by the linear mixed model.