would this answer this question and is it right Discuss the results, in your discussion please discuss the Levene's test assumption and if the assumption was met or violated. In addition, include a discussion of the effect size measure. The Levene's test was conducted to assess the requirement of equal variances across groups, which is important for ANOVA. The results of Levene's test were not significant (p > .05), suggesting that the requirement of equal variances across groups was met. This suggests that the variability in life satisfaction scores was consistent across the different income and sex groups. The impact size for both the main effects and their interaction were measured using partial Eta squared. The effect size for sex was small (n^2 = .013), indicating that only 1.3% of the variance in life satisfaction was explained by sex. For income, the effect size was moderate (n^2= .106), suggesting that 10.6% of the variance in life satisfaction was attributable to differences in income levels. The interaction effect between sex and income had a small effect size ( = .027), explaining 2.7% of the variance. Overall, while income levels showed a statistically significant effect on life satisfaction, sex did not. The interaction between sex and income did not significantly impact life satisfaction either. The small effect sizes indicate that other factors beyond sex and income may play a more substantial role in determining life satisfaction in this sample