Select two other appropriate variables; run and interpret the output as we did in Output 7.1. , In your own words explain this answer in a detailed two-paragraph: The case processing summary shows a total sample of 50 with one missing value, leaving 49 valid cases. Among singles, there are 20 with no children and none with children, which represents 87% compared with the expected counts of 9.4 without children and 10.6 with children. Among married participants, 1 had no children and 17 had children. The expected counts were 8.4 with no children and 9.6 with children. Among divorced participants, 2 had no children and 9 had children, compared with expected counts of 5.2 and 5.8, respectively. The crosstab shows 23 individuals without children, 20 of whom are single. Conversely, of the 26 individuals with children, 17 are married. Both patterns deviate notably from the expected counts of 9.4 and 9.6. The chi-square test in Figure 3 indicates a statistically significant association between marital status and having children, since p < .05 (Morgan et al., 2020). The chi-square value is 36.63, demonstrating substantial differences across categories, with a p-value of .000, suggesting that marital status is strongly related to whether someone has children