A researcher was interested whether an individual's preference in political party affiliation was influenced by their level of education andgender. A random sample of participants were recruited, and preferences were scored from 0 - 10 (0 meaning no preference,10 meaning greater preference). The researcher then divided participants by gender (1 = male/2 = female) and then again by level ofeducation (1 = some school/2 = college/3 = university). Assume alpha at 0.05.GenderEducation Level Political Interest110119.1221111114419.138What is the dependent variable?What is the appropriate type of statistical analysis to run?What is the conclusion? Please write in APA format.

Step 1: Political interest is the dependent variable. The 2-way ANOVA is performed using the statistical software STATA. Steps: I Paste the data into the STATA Data-Editor file. (ii) ANOVA is the command to run. interest in politics gender#educationlevel#gender#educationlevel#gender#educationlevel#gender#education Output: The suitable statistical analysis to do is a two-way ANOVA. Gender Influence: Ho: Gender has no bearing on political interest. u1=u2 There is a gender effect on political interest. F= 0.12 in the test statistics F-statistics p-value at (1,5) degree of freedom is 0.7387. We fail to reject the null hypothesis because the p-value is bigger than 0.05 level of significance, hence we conclude that gender has no significant effect on political interest. Effect of Variety: Ho: The amount of education has no bearing on political involvement. u1=u2=u3 There is a correlation between educational attainment and political interest. F= 0.09, F= 0.09, F= 0.09, F= 0.09, F F-statistics p-value at (2,5) degree of freedom is 0.9188. We fail to reject the null hypothesis because the p-value is bigger than the 0.05 level of significance, hence we conclude that education level has no significant effect on political interest. Interaction Effect: Ho: Gender and educational level had no interaction effect. There is a gender and education level interaction effect. F=0.00 in the test statistics F-statistics p-value at (1,5) degree of freedom is 0.9465. We cannot reject the null hypothesis because the p-value is bigger than the 0.05 level of significance, so we conclude that there is no significant interaction effect of gender and education level.