is there sufficient evidence that the interaction effect of the two IV influenced the outcome?

Univariate Analysis of Variance Between-Subjects Factors Value Label N gender Male 16 Female 16 major Vocational Education 2 Physical CO Education A W English Math Descriptive Statistics Dependent Variable: praxis gender major Mean Std. Deviation N 1 Male 1 Vocational Education 32.50 2.517 2 Physical Education 34.75 .957 ADAD 3 English 37.75 2.630 4 Math 38.25 4.924 Total 35.81 3.674 16 2 Female 1 Vocational Education 27.75 1.708 2 Physical Education 35.50 2.082 AAA 3 English 37.75 1.708 4 Math 43.00 5.598 A Total 36.00 6.356 16 Total 1 Vocational Education 30.13 3.227 2 Physical Education 35.13 1.553 C0 00 00 00 3 English 37.75 2.053 4 Math 40.63 5.502 Total 35.91 5.108 32 Levene's Test of Equality of Error Variances(a) Dependent Variable: praxis F df1 df2 Sig. 1.407 7 24 .248 Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a Design: Intercept+gender+major+gender * major