does this answer this question: Discuss the results, in your discussion please discuss the Box test for equality of variance matrices and if the assumption was met or violated. In addition, include a discussion of the effect size measure. The Box's Test of Equality of Covariance Matrices tests whether the covariance matrices of the dependent variables are equal across the groups formed by the independent variable, which in this case is income. The test was not significant (Box's M = 24.876, p = .234), indicating that the assumption of equality of covariance matrices was met. This suggests that the results of the MANOVA can be interpreted without concern for violations of this assumption. Regarding the effect size, the partial Eta squared () values indicate the proportion of variance in the dependent variables (positive attitude and life satisfaction) explained by the independent variable (income). The effect size for the influence of income on maintaining a positive attitude was small (partial = .016), indicating that income explains only 1.6% of the variance in maintaining a positive attitude. On the other hand, the effect size for the influence of income on life satisfaction was moderate (partial = .102), suggesting that income explains 10.2% of the variance in life satisfaction. This indicates that while income does not significantly influence maintaining a positive attitude, it has a notable impact on life satisfaction