Assumptions Anova Regression. 1 For each independent variable the relationship between the dependent variable y and the covariate x is linear 2 The lines expressing these linear relationships are all parallel homogeneity of regression slopes 3 The covariate is independent of the treatment effects ie. The amount of variance for each sample among the dependent variables is relatively equivalent.
The dependent variable can be modeled as a normal population. ANOVA - ASSUMPTIONS. For ANOVA there are four assumptions that you need to meet.
Violation of the assumption of normality can lead to Type I errors occurring more often than the 5 level.
And whats really nice is that we dont have to specify which group like we did in the ttest. Other than linearity they are exactly the same. Essentially your groups cannot be related - for instance - if you are interested in studying age this is easy - a young. To use the ANOVA test we made the following assumptions.
