Please help check my Answer!!!

data and Question in Attached

Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Type of property * Type of 333 100.0% 0 0.0% 333 100.0% buyer Type of property * Type of buyer Crosstabulation Type of buyer Married Single male Single female couple Family Total Type of property Flat Count 40 30 16 10 96 Expected Count 19.6 16.4 29.1 30.8 96.0 9% within Type of property 41.7% 31.3% 16.7% 10.4% 100.0% 95 within Type of buyer 58.8% 52.6% 5.8% 9.3% 28.8% Adjusted Residual 6.1 4 4 35 -54 Bungalow Count 14 16 38 Expected Count 7.8 6 5 11.5 380 % within Type of property 10.5% 10.5% 36.8% 12.1 % 100.0% 9% within Type of buyer 5.9% 7.0% 3.9% 15.0% 11.4% Adjusted Residual -1.6 -1.1 .9 1.4 Detached house Count 16 26 42 92 Expected Count 18.8 15.7 27.9 29.6 92.0 % within Type of property 8.7% 17.4% 28.3% 45.7% 100.0% % within Type of buyer 11.8% 28.1% 25.7% 39.3% 27.6% Adjusted Residual 3.3 -.5 3.3 Terrace Count 16 45 39 107 Expected Count 21 8 18.3 32.5 34 4 107.0 % within Type of property 15.0% 6.5% 12.1% 36.4% 100.0% 9% within Type of buyer 23.5% 12.3% 14.6% 36.4% 32.1% Adjusted Residual -1.7 .3.5 3.2 1.2 Total Coun 68 57 101 107 333 Expected Count 68.0 57.0 101.0 107.0 333.0 % within Type of property 20.4% 17.1% 30.3% 32.1 % 100.0% % within Type of buyer 100.0% 1 00.0% 100.0% 100.D% 100.0%Chi-Square Tests Asymptotic Significance (2- Value df sided) Pearson Chi-Square 82.5043 9 <.001 likelihood ratio linear-by-linear association n of valid cases a. cells have expected count less than the minimum is symmetric measures approximate value significance nominal by phi cramer v answer : ture what chi square for property and buyer type study enter to two true or false: meets all decimal places. assumptions square. o false places b c mark that are about test determining between type. which total files when using them in a this goodness fit they will show variable levels each strength small record individual not statistically significant you must use weight before running do null hypothesis independent d none listed choices evaluating residuals single males more likely live flats detached homes married individuals terraces possible>