Compute an effect size for the association between watching sports and age group. What can you say about the effect size and statistical significance

7: 3D CROSSTABS Symmetric Measures /TABLES-tvsports BY age Approximate /FORMAT-AVALUE TABLES Value Significance /STATISTICS-CHISQ PHI Nominal by Nominal Phi 160 .529 /CELLS-COUNT EXPECTED COLUMN Cramer's V 160 529 COUNT ROUND CELL. N of Valid Cases Crosstabs Case Processing Summary Cases Valid Missing Total Z Percent Z Percent Z Percent television shows-sports * 50 100.0% 0.0% 50 100.0% age group television shows-sports * age group Crosstabulation age group less than 22 22-29 30 or more Total television shows-sports no Count O 24 Expected Count 4.0 % within age group 41.2% 44 4% 60.0% 48.0% yes Count 26 Expected Count 3 8 26.0 % within age group 58.8% 55.6% 40.0% 52.0% CO Total Count Expected Count 17.0 18.0 5.0 50.0 % within age group 100.0% 100.0% 100.0% 100.0% Chi-Square Tests Asymptotic Significance (2- Value sided) Pearson Chi-Square 1.2743 529 Likelihood Ratio 1.279 528 Linear-by-Linear Association 1.078 299 N of Valid Cases a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 7.20