Hello, I need help with answering these questions for this Two-Way ANOVA.

• What is your research question? What is your hypothesis or prediction and why?
• The obtained result of the ANOVAs: What is the F value, df and the significance level? Is it statistically significant? What is the effect size as determined by the eta squared (?²) value? For the two-way ANOVA, be sure to report the F values for two main effects and one interaction.
• If the F test was significant, what is the result of the post-hoc analysis? If the Levene's Test is significant (indicating a violation of the homogeneity of variance assumption), be sure to report the appropriate post hoc test associated with unequal variances for the one-way ANOVA.
• An interpretation of the results including the means and standard deviations.

Descriptive Statistics Dependent Variable: Full of Energy Liking of Sports Likes to Travel Mean Std. Deviation N Like Like 2.88 905 43 Dislike 4.50 707 2 Don't Care 2.75 500 4 Total 2.94 922 49 Dislike Like 2.89 1.269 9 Dislike 5.00 1 Don't Care 2.00 1.000 3 Total 2.85 1.345 13 Don't Care Like 2.93 1.010 41 Dislike 3.00 2.828 2 Don't Care 2.33 577 3 Total 2.89 1.059 46 Total Like 2.90 979 93 Dislike 4.00 1.732 5 Don't Care 2.40 699 10 Total 2.91 1.028 108 Levene's Test of Equality of Error Variancesab Levene Statistic df1 df2 Sig. Full of Energy Based on Mean 2.084 7 99 052 Based on Median 2.010 7 99 061 Based on Median and 2.010 7 95.370 062 with adjusted df Based on trimmed mean 2.086 7 99 052 Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Dependent variable: Full of Energy b. Design: Intercept + sport1a + travel1d + sport1 a * travel1 dTests of Between-Subjects Effects Dependent Variable: Full of Energy Type Ill Sum Partial Eta Source of Squares df Mean Square F Sig. Squared Corrected Model 13.069 8 1.634 1.617 129 116 Intercept 260.099 260.099 257.486 <.001 .722 sport1 a n .313 travel1 d .362 error total corrected a. r squared=".116" estimated marginal means liking of sports dependent variable: full energy confidence interval mean std. lower bound upper like dislike .403 don care likes to travel .711 post hoc tests multiple comparisons tukey hsd difference j sig. .65 .84 .05 .206 .44 .09 ..84 .989 .71 .316 .80 based on observed means. the term is square subsets hsda.b.c subset for groups in homogeneous are displayed uses harmonic sample size="25.195." b. group sizes unequal. used. type i levels not guaranteed. c. alpha=".05." .50 .00 .334 .29 significant at level.homogeneous sig displayed. plots sportsexample results section two-way anova: research question whether marital status and gender related family life satisfaction. x anova showed no signicant interaction between f p=".939," partial n3=".12," main effect satisfaction there was levene statistic indicating equal variance assumption met. posthoe analysis revealed that those who married reported higher than single or cohabitating. standard deviations by presented table an apa style descriptive statistics here exaiveple found relevant follow up will need be conducted evaluate differences among one factor each level another>