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ANOVA stands for ANalysis Of VAriance, a statistical model and set of procedures for comparing multiple group means. The independent variables in an ANOVA model are categorical, but an ANOVA table can be used to test continuous variables as well.

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Discrepancy between `anova` and `summary` outputs with `lmer` in the presence of interactions [duplicate]

while this is the output of anova: > anova(mdl.CL) Analysis of Variance Table Df Sum Sq Mean Sq F value TL 2 0.05962 0.029810 0.5896 PL 5 1.33398 0.266796 5.2773 GO 1 … As you can see, the t value from summary is 2.04 and the F value from anova is 0.0416. …
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