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Please upload screenshots of SPSS output, thanks!!!! Project for module 6, Chi-square analysis Base on the given data uploaded, change the variable sale price into
Please upload screenshots of SPSS output, thanks!!!!
Project for module 6, Chi-square analysis
Base on the given data uploaded, change the variable sale price into two categories: above the mean price or not; and change the living area into two categories: above the median living area or not. Using the resulting variables will you conclude that larger house corresponding to higher price?
sellprice | listprice | LIVINGAREA | ROOMS | BEDRMS | BATHRMS | AGE | ACRES | TAXES |
710.00 | 800 | 28 | 10 | 5 | 3 | 60 | 0.28 | 3167 |
875.00 | 900 | 18 | 8 | 4 | 1 | 12 | 0.43 | 4033 |
645.00 | 660 | 13 | 6 | 3 | 1 | 41 | 0.33 | 1471 |
690.00 | 700 | 17 | 7 | 3 | 1 | 22 | 0.46 | 3204 |
1160.00 | 1200 | 25 | 8 | 4 | 3 | 5 | 2.05 | 3613 |
675.00 | 700 | 18 | 7 | 4 | 3 | 9 | 0.57 | 3028 |
750.00 | 800 | 20 | 8 | 4 | 3 | 18 | 4.00 | 3131 |
1035.00 | 1125 | 22 | 8 | 4 | 2 | 16 | 2.22 | 5158 |
1355.00 | 1425 | 30 | 10 | 5 | 2 | 30 | 0.53 | 5702 |
445.00 | 450 | 10 | 5 | 3 | 1 | 43 | 0.30 | 2054 |
765.00 | 785 | 22 | 8 | 3 | 3 | 18 | 0.38 | 4127 |
432.50 | 450 | 16 | 7 | 3 | 1 | 50 | 0.65 | 1445 |
1170.00 | 1190 | 25 | 8 | 4 | 2 | 2 | 1.61 | 2087 |
527.50 | 580 | 20 | 8 | 4 | 1 | 13 | 0.22 | 2818 |
875.00 | 900 | 22 | 8 | 4 | 2 | 15 | 2.06 | 3917 |
825.00 | 850 | 17 | 8 | 4 | 2 | 33 | 0.46 | 2220 |
830.00 | 850 | 23 | 9 | 4 | 2 | 37 | 0.27 | 3498 |
680.00 | 700 | 19 | 7 | 3 | 1 | 22 | 0.63 | 3607 |
740.00 | 800 | 17 | 7 | 3 | 2 | 13 | 0.36 | 3648 |
755.00 | 765 | 19 | 8 | 4 | 2 | 24 | 0.34 | 3561 |
900.00 | 950 | 24 | 9 | 4 | 2 | 10 | 1.55 | 4681 |
1465.00 | 1525 | 26 | 8 | 4 | 3 | 6 | 0.46 | 7088 |
835.00 | 850 | 20 | 9 | 4 | 2 | 46 | 0.46 | 3482 |
950.00 | 965 | 22 | 9 | 5 | 2 | 37 | 0.48 | 3920 |
920.00 | 950 | 21 | 9 | 5 | 2 | 27 | 1.30 | 4162 |
785.00 | 825 | 20 | 8 | 4 | 2 | 7 | 0.30 | 3785 |
550.00 | 575 | 16 | 8 | 4 | 1 | 26 | 0.29 | 3103 |
675.00 | 725 | 18 | 7 | 4 | 1 | 35 | 0.43 | 3363 |
2835.00 | 3125 | 64 | 11 | 4 | 3 | 4 | 0.85 | 12192 |
900.00 | 925 | 20 | 8 | 4 | 2 | 11 | 1.00 | 3831 |
915.00 | 940 | 17 | 7 | 3 | 2 | 16 | 3.00 | 3564 |
925.00 | 965 | 20 | 9 | 3 | 2 | 56 | 6.49 | 3765 |
760.00 | 775 | 17 | 8 | 4 | 1 | 33 | 0.70 | 3361 |
740.00 | 765 | 13 | 6 | 3 | 2 | 22 | 0.39 | 3950 |
760.00 | 795 | 15 | 7 | 3 | 1 | 25 | 0.59 | 3055 |
730.00 | 750 | 16 | 7 | 3 | 1 | 31 | 0.36 | 2950 |
850.00 | 950 | 24 | 10 | 3 | 2 | 33 | 0.57 | 3346 |
635.00 | 650 | 20 | 8 | 4 | 1 | 65 | 0.40 | 3334 |
1325.00 | 1350 | 36 | 10 | 6 | 3 | 33 | 1.20 | 5853 |
785.00 | 815 | 18 | 8 | 4 | 2 | 12 | 1.13 | 3982 |
640.00 | 675 | 17 | 9 | 4 | 1 | 25 | 0.52 | 3374 |
550.00 | 600 | 15 | 8 | 4 | 2 | 11 | 0.59 | 3119 |
615.00 | 650 | 18 | 8 | 4 | 2 | 43 | 0.39 | 3268 |
1060.00 | 1150 | 39 | 12 | 5 | 3 | 202 | 4.29 | 3648 |
725.00 | 725 | 18 | 8 | 4 | 2 | 44 | 0.22 | 2783 |
645.00 | 675 | 10 | 6 | 3 | 1 | 15 | 1.00 | 2438 |
715.00 | 725 | 21 | 7 | 4 | 2 | 10 | 1.20 | 3529 |
1235.00 | 1260 | 29 | 9 | 4 | 2 | 4 | 1.25 | 4626 |
555.00 | 600 | 15 | 8 | 3 | 1 | 97 | 1.11 | 3205 |
665.00 | 725 | 26 | 7 | 3 | 1 | 42 | 0.36 | 3059 |
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