Anova Assumptions Residuals. The four assumptions are. Y values are taken on the vertical y axis and standardized residuals SPSS calls them ZRESID are then plotted on the horizontal x axis.
If your one-way ANOVA design meets the guidelines for sample size the results are not substantially affected by departures from normality. Point of interest here is the second assumption. Equality or homogeneity of variances called homoscedasticity.
Outline Inferential Methods in Regression Conditional distribution Assumptions on ε Residuals Inference for β 1 Parameters and statistics for simple linear regression inference for β 1 Hypothesis test for β 1 Confidence interval for β 1 Inferential method for β 1 continued Check model assumptions.
One of the assumptions of ANOVA is that the residuals from that model are sampled from a Gaussian distribution. The assumptions are exactly the same for ANOVA and regression models. Residual Observed value - Predicted value e y - ŷ in general In anova there is this idea called partition of sums of squares. Normality the distributions of the residuals are normal.
