why are variables inconsistent with models when are variance components incongruent with predictive power? what is the difference between a mixed-effects model and a model that shows a variable as the expected predictor of the outcome? why is variance incongruent to predictive power? why are variance components and predictive power incongruent why are variance components incongruent with predictive power in the presence of hidden variables not in the model? why is x1 incongruent with the model what are the variables in a mixed model why is the variance component of mixed effect model incongruent with predictive power how many variables are in the mixed model how can i calculate variance in a mixed effect model what is a mixed-effects model used for? what is the mixed effects model what is the formula for random effects what are the two variables in the mixed effect model what is the difference in the correlation between random effects and linear mixed effect what are two variables in mixed model fit by maximum likelihood why are variance components incongruent with predictive power in the presence of hidden interactions if the model predicts that x1 is the correct variance the predicted probability is how much of the variance is explained by x1 in a mixed model