This confirms the interpretation of the eigen analysis. The difference between these means is larger than the difference between the corresponding means for quality rating. The table shows that method 1 and method 2 are associated with mean usability ratings of 4.819 and 6.212 respectively. Method and the interaction term are statistically significant at the 0.10 level.

In these results, the Means table shows how the mean usability and quality ratings varies by method, plant, and the method*plant interaction. To display the means, go to Stat > ANOVA > General MANOVA > Results, select Univariate analysis of variance, and enter the terms in Display least squares means corresponding to the terms. If an interaction term is statistically significant, do not interpret the main effects without considering the interaction effects. For interaction effects, the table displays all possible combinations of the groups. Look for differences between group means for terms that are statistically significant.įor main effects, the table displays the groups within each factor and their means. The mean of each group provides an estimate of each population mean. Use the Means table to understand the statistically significant differences between the factor levels in your data. For more information on removing terms from the model, go to Model reduction. If there are multiple predictors without a statistically significant association with the response, you can reduce the model by removing terms one at a time. You may want to refit the model without the term.

P-value > α: The differences between the means are not statistically significant If the p-value is greater than the significance level, you cannot conclude that the differences between the means are statistically significant. P-value ≤ α: The differences between the means are statistically significant If the p-value is less than or equal to the significance level, you can conclude that the differences between the means are statistically significant. A significance level of 0.05 indicates a 5% risk of concluding that an association exists when there is no actual association. Usually, a significance level (denoted as α or alpha) of 0.05 works well. To simultaneously test the equality of means from all the responses, compare the p-values in the MANOVA test tables for each term to your significance level.

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