1 Cut zucchini in half lengthwise (if needed, trim bottom so it sits still in baking dish) 2  Scoop out the center where the seeds are with a spoon.  Mix the crushed garlic, olive oil, salt and pepper in a small bowl. Brush surface of zucchini with the mixture.
In econometrics, random effects models are used in the analysis of hierarchical or panel data when one assumes no fixed effects (it allows for individual effects). The random effects model is a special case of the fixed effects model.here are two common assumptions made about the individual specific effect, the random effects assumption and the fixed effects assumption. The random effects assumption (made in a random effects model) is that the individual specific effects are uncorrelated with the independent variables.
Relative to a factorial design, under an analysis of variance, a main effect test will test the hypotheses expected such as H0, the null hypothesis. Running a hypothesis for a main effect will test whether there is evidence of an effect of different treatments. However a main effect test is nonspecific and will not allow for a localization of specific mean pairwise comparisons (simple effects). A main effect test will merely look at whether overall there is something about a particular factor that is making a difference. In other words a test examining differences amongst the levels of a single factor (averaging over the other factor and/or factors).