Stat homework
Errors
| 1. Acquisition of a Financially Distressed Firm Model | ||||||
| 37 | Acquired firms | |||||
| 49 | Non-Acquired Firms | |||||
| 86 | Total | |||||
| Error | Type I | Type II | Average | |||
| Cut-off | EN | EA | (EN+EA)/2 | |||
| 0.40 | 18 | 36.73% | 7 | 18.92% | 25 | 27.83% |
| 0.45 | 15 | 30.61% | 10 | 27.03% | 25 | 28.82% |
| 0.50 | 12 | 24.49% | 11 | 29.73% | 23 | 27.11% |
| 0.55 | 9 | 18.37% | 15 | 40.54% | 24 | 29.45% |
| 0.60 | 7 | 14.29% | 16 | 43.24% | 23 | 28.76% |
| 2. Financial Distressed Firm Model | ||||||
| 86 | Distressed Firms | |||||
| 95 | Healthy Firms | |||||
| 181 | Total | |||||
| Error | Type I | Type II | Average | |||
| Cut-off | EH | ED | (EH+ED)/2 | |||
| 0.40 | 30 | 31.58% | 18 | 20.93% | 48 | 26.25% |
| 0.45 | 20 | 21.05% | 25 | 29.07% | 45 | 25.06% |
| 0.50 | 14 | 14.74% | 30 | 34.88% | 44 | 24.81% |
| 0.55 | 13 | 13.68% | 38 | 44.19% | 51 | 28.94% |
| 0.60 | 12 | 12.63% | 38 | 44.19% | 50 | 28.41% |
Models
| 1. Financial Distress Models | |||||
| 1. Three-Variable Logit Model - Distress | |||||
| Dependent Variable YD - Estimation by Logit | |||||
| Usable Observations | 181 | ||||
| Log Likelihood | -93.9 | ||||
| No | Variable | Coefficient | Standard Error | T-Statistics | Significance |
| 1 | Constant | -1.5520 | 0.7281 | -2.13 | 0.0344 |
| 2 | TDTA | 4.1655 | 1.1397 | 3.66 | 0.0003 |
| 3 | GEMPL | -4.9657 | 1.8836 | -2.64 | 0.0091 |
| 4 | OPITA | -7.1977 | 2.2434 | -3.21 | 0.0016 |
| 2. Four-Variable Logit Model - Distress | |||||
| Usable Observations | 181 | ||||
| Log Likelihood | -92.1 | ||||
| No | Variable | Coefficient | Standard Error | T-Statistics | Significance |
| 1 | Constant | -2.4767 | 0.8897 | -2.78 | 0.0060 |
| 2 | TDTA | 4.2716 | 1.1483 | 3.72 | 0.0003 |
| 3 | GEMPL | -5.9024 | 1.9867 | -2.97 | 0.0034 |
| 4 | OPITA | -6.1298 | 2.2843 | -2.68 | 0.0080 |
| 5 | INVSLS | 4.3044 | 2.3043 | 1.87 | 0.0634 |
| 3. Five-Variable Logit Model - Distress | |||||
| Usable Observations | 181 | ||||
| Log Likelihood | -90.6 | ||||
| No | Variable | Coefficient | Standard Error | T-Statistics | Significance |
| 1 | Constant | -1.5087 | 1.0436 | -1.45 | 0.1501 |
| 2 | TDTA | 4.8133 | 1.2171 | 3.95 | 0.0001 |
| 3 | GEMPL | -6.1228 | 1.9811 | -3.09 | 0.0023 |
| 4 | OPITA | -5.1431 | 2.3577 | -2.18 | 0.0305 |
| 5 | INVSLS | 3.6199 | 2.3607 | 1.53 | 0.1270 |
| 6 | LSLS | -0.2151 | 0.1251 | -1.72 | 0.0874 |
| No | Variable | Mean | Std Error | Minimum | Maximum |
| 1 | YD | 0.4751 | 0.5008 | 0.0000 | 1.0000 |
| 2 | TDTA | 0.5589 | 0.2220 | 0.1083 | 1.5130 |
| 3 | GEMPL | -0.0007 | 0.1069 | -0.2880 | 0.4565 |
| 4 | OPITA | 0.1094 | 0.1201 | -0.3995 | 0.3822 |
| 5 | INVSLS | 0.1736 | 0.0993 | 0.0163 | 0.8367 |
| 6 | LSLS | 5.7286 | 1.6388 | 2.1923 | 11.3788 |
| 7 | LTA | 5.3647 | 1.6683 | 1.7032 | 11.0170 |
| 8 | NWCTA | 0.2708 | 0.1779 | -0.4295 | 0.7936 |
| 9 | CACL | 2.2192 | 1.0737 | 0.4788 | 6.8381 |
| 10 | QACL | 1.2615 | 0.8639 | 0.1227 | 6.0934 |
| 11 | EBITA | 0.0660 | 0.1257 | -0.4822 | 0.3102 |
| 12 | RETA | 0.2506 | 0.2802 | -0.9590 | 0.8352 |
| 13 | LTDTA | -0.9090 | 10.5032 | -99.9900 | 0.9020 |
| 14 | MVETL | 1.3341 | 8.3298 | -99.9900 | 27.6318 |
| 15 | FATA | 0.3401 | 0.1650 | 0.0272 | 0.8050 |
| 2. Acquisition of A financially Distress Firm | |||||
| 1. Four-Variable Logit Model - Acquisition | |||||
| Usable Observations | 86 | ||||
| Log Likelihood | -48.83 | ||||
| No | Variable | Coefficient | Standard Error | T-Statistics | Significance |
| 1 | Constant | -4.1983 | 1.5397 | -2.73 | 0.0078 |
| 2 | SLSTA | 0.9614 | 0.3455 | 2.78 | 0.0067 |
| 3 | INVSLS | 7.3104 | 3.1338 | 2.33 | 0.0221 |
| 4 | INSIDR | -0.0351 | 0.0158 | -2.23 | 0.0288 |
| 5 | FATA | 4.8138 | 2.0244 | 2.38 | 0.0198 |
| 2. Five-Variable Logit Model - Acquisition | |||||
| Usable Observations | 86 | ||||
| Log Likelihood | -44.8 | ||||
| No | Variable | Coefficient | Standard Error | T-Statistics | Significance |
| 1 | Constant | -4.6086 | 1.6674 | -2.76 | 0.0071 |
| 2 | SLSTA | 1.3334 | 0.4011 | 3.32 | 0.0013 |
| 3 | INVSLS | 8.4913 | 3.4237 | 2.48 | 0.0152 |
| 4 | INSIDR | -0.0429 | 0.0166 | -2.58 | 0.0118 |
| 5 | FATA | 4.5072 | 2.1801 | 2.07 | 0.0419 |
| 6 | NIFA | 0.9563 | 0.4084 | 2.34 | 0.0217 |
| 6. Five-Variable Logit Model - Acquisition | |||||
| Usable Observations | 86 | ||||
| Log Likelihood | -43.06 | ||||
| No | Variable | Coefficient | Standard Error | T-Statistics | Significance |
| 1 | Constant | -3.6857 | 1.7305 | -2.13 | 0.0363 |
| 2 | SLSTA | 1.5235 | 0.4350 | 3.50 | 0.0008 |
| 3 | INVSLS | 9.3671 | 3.3904 | 2.76 | 0.0071 |
| 4 | INSIDR | -0.0458 | 0.0170 | -2.69 | 0.0088 |
| 5 | FATA | 5.3880 | 2.2985 | 2.34 | 0.0216 |
| 6 | NIFA | 0.6485 | 0.4023 | 1.61 | 0.1109 |
| 7 | TDTA | -2.6727 | 1.4967 | -1.79 | 0.0780 |
| No | Variable | Mean | Std Error | Minimum | Maximum |
| 1 | YM | 0.4302 | 0.4980 | 0.0000 | 1.0000 |
| 2 | SLSTA | 1.6250 | 0.9654 | 0.3114 | 5.5073 |
| 3 | INVSLS | 0.1923 | 0.1167 | 0.0348 | 0.8367 |
| 4 | INSIDR | 19.9521 | 19.5296 | 0.0000 | 75.6000 |
| 5 | FATA | 0.3127 | 0.1560 | 0.0320 | 0.6488 |
| 6 | NIFA | -0.2800 | 1.0312 | -4.0858 | 2.0262 |
| 7 | TDTA | 0.6578 | 0.2440 | 0.1083 | 1.5130 |
| 8 | LSLS | 5.4575 | 1.4649 | 2.1923 | 10.0096 |
| 9 | LTA | 5.1208 | 1.5355 | 1.7032 | 9.5025 |
| 10 | NWCTA | 0.2452 | 0.1878 | -0.4295 | 0.7145 |
| 11 | CACL | 2.0256 | 1.0236 | 0.4788 | 6.8381 |
| 12 | QACL | 1.1330 | 0.7848 | 0.1227 | 5.3057 |
| 13 | EBITA | 0.0146 | 0.1347 | -0.4822 | 0.3102 |
| 14 | RETA | 0.1323 | 0.3196 | -0.9590 | 0.7725 |
| 15 | LTDTA | 0.2211 | 0.1644 | 0.0000 | 0.9020 |
| 16 | MVETL | 0.9682 | 1.2858 | 0.0530 | 6.5552 |
PA
| Acquired | 0.40 | 0.45 | 0.50 | 0.55 | 0.60 | Non-Acquired | 0.40 | 0.45 | 0.50 | 0.55 | 0.60 | |||
| TOTAL | 7 | 10 | 11 | 15 | 16 | TOTAL | 18 | 15 | 12 | 9 | 7 | |||
| 1 | 0.7612 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1133 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.6076 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.028 | 1 | 1 | 1 | 1 | 1 | 0 | 0.0121 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.6959 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0971 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.472 | 0 | 0 | 1 | 1 | 1 | 0 | 0.2074 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.0928 | 1 | 1 | 1 | 1 | 1 | 0 | 0.4824 | 1 | 1 | 0 | 0 | 0 | |
| 1 | 0.7142 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1098 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.542 | 0 | 0 | 0 | 1 | 1 | 0 | 0.0606 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.3466 | 1 | 1 | 1 | 1 | 1 | 0 | 0.1266 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.8317 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1224 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.2629 | 1 | 1 | 1 | 1 | 1 | 0 | 0.249 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.5189 | 0 | 0 | 0 | 1 | 1 | 0 | 0.0045 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7666 | 0 | 0 | 0 | 0 | 0 | 0 | 0.7165 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.8832 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1092 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7038 | 0 | 0 | 0 | 0 | 0 | 0 | 0.3143 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.5895 | 0 | 0 | 0 | 0 | 1 | 0 | 0.1396 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7921 | 0 | 0 | 0 | 0 | 0 | 0 | 0.6026 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.9279 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1182 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.5369 | 0 | 0 | 0 | 1 | 1 | 0 | 0.6692 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.8771 | 0 | 0 | 0 | 0 | 0 | 0 | 0.6565 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.7936 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4399 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 0.7818 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5197 | 1 | 1 | 1 | 0 | 0 | |
| 1 | 0.6177 | 0 | 0 | 0 | 0 | 0 | 0 | 0.3734 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.3237 | 1 | 1 | 1 | 1 | 1 | 0 | 0.0904 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7676 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0289 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.4075 | 0 | 1 | 1 | 1 | 1 | 0 | 0.122 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.8613 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5134 | 1 | 1 | 1 | 0 | 0 | |
| 1 | 0.7998 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5707 | 1 | 1 | 1 | 1 | 0 | |
| 1 | 0.4484 | 0 | 1 | 1 | 1 | 1 | 0 | 0.582 | 1 | 1 | 1 | 1 | 0 | |
| 1 | 0.9645 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0557 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.3322 | 1 | 1 | 1 | 1 | 1 | 0 | 0.2739 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7104 | 0 | 0 | 0 | 0 | 0 | 0 | 0.122 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.8673 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0807 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.4263 | 0 | 1 | 1 | 1 | 1 | 0 | 0.3028 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.5332 | 0 | 0 | 0 | 1 | 1 | 0 | 0.2754 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.3923 | 1 | 1 | 1 | 1 | 1 | 0 | 0.001 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7523 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4711 | 1 | 1 | 0 | 0 | 0 | |
| 0 | 0.1747 | 0 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.7242 | 1 | 1 | 1 | 1 | 1 | ||||||||
| 0 | 0.4524 | 1 | 1 | 0 | 0 | 0 | ||||||||
| 0 | 0.4184 | 1 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.0341 | 0 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.0011 | 0 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.4379 | 1 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.6404 | 1 | 1 | 1 | 1 | 1 | ||||||||
| 0 | 0.5475 | 1 | 1 | 1 | 0 | 0 | ||||||||
| 0 | 0.0961 | 0 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.254 | 0 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.637 | 1 | 1 | 1 | 1 | 1 |
PD
| Distresses | 0.40 | 0.45 | 0.50 | 0.55 | 0.60 | Healthy | 0.40 | 0.45 | 0.50 | 0.55 | 0.60 | |||
| TOTAL | 18 | 25 | 30 | 38 | 38 | TOTAL | 30 | 20 | 14 | 13 | 12 | |||
| 1 | 0.9298 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0448 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.9631 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2697 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.2844 | 1 | 1 | 1 | 1 | 1 | 0 | 0.3398 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.2137 | 1 | 1 | 1 | 1 | 1 | 0 | 0.3496 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.3523 | 1 | 1 | 1 | 1 | 1 | 0 | 0.1496 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.2881 | 1 | 1 | 1 | 1 | 1 | 0 | 0.3578 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7125 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0722 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.8336 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1666 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7156 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1893 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.9703 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4398 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 0.4818 | 0 | 0 | 1 | 1 | 1 | 0 | 0.2775 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4447 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 0.2004 | 1 | 1 | 1 | 1 | 1 | 0 | 0.0403 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.1771 | 1 | 1 | 1 | 1 | 1 | 0 | 0.04 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.9992 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4234 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 0.7654 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4902 | 1 | 1 | 0 | 0 | 0 | |
| 1 | 0.4002 | 0 | 1 | 1 | 1 | 1 | 0 | 0.7565 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.7443 | 0 | 0 | 0 | 0 | 0 | 0 | 0.3494 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.3639 | 1 | 1 | 1 | 1 | 1 | 0 | 0.6474 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.4923 | 0 | 0 | 1 | 1 | 1 | 0 | 0.3529 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.2516 | 1 | 1 | 1 | 1 | 1 | 0 | 0.0443 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7771 | 0 | 0 | 0 | 0 | 0 | 0 | 0.8222 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.985 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4189 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 0.6495 | 0 | 0 | 0 | 0 | 0 | 0 | 0.412 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 0.9857 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2974 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.9769 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4291 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 0.3707 | 1 | 1 | 1 | 1 | 1 | 0 | 0.0336 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.2957 | 1 | 1 | 1 | 1 | 1 | 0 | 0.3068 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7412 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2555 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.998 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0795 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.755 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2688 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.945 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1112 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.3845 | 1 | 1 | 1 | 1 | 1 | 0 | 0.2277 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.5452 | 0 | 0 | 0 | 1 | 1 | 0 | 0.3568 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.9094 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4077 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 0.894 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.8976 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4409 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 0.9529 | 0 | 0 | 0 | 0 | 0 | 0 | 0.3529 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0.412 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 0.9356 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4272 | 1 | 0 | 0 | 0 | 0 | |
| 1 | 0.7414 | 0 | 0 | 0 | 0 | 0 | 0 | 0.6835 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.9595 | 0 | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.963 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2596 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.4982 | 0 | 0 | 1 | 1 | 1 | 0 | 0.4721 | 1 | 1 | 0 | 0 | 0 | |
| 1 | 0.9107 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2878 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.4185 | 0 | 1 | 1 | 1 | 1 | 0 | 0.1269 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.4794 | 0 | 0 | 1 | 1 | 1 | 0 | 0.3426 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7739 | 0 | 0 | 0 | 0 | 0 | 0 | 0.766 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.9971 | 0 | 0 | 0 | 0 | 0 | 0 | 0.451 | 1 | 1 | 0 | 0 | 0 | |
| 1 | 0.5131 | 0 | 0 | 0 | 1 | 1 | 0 | 0.2507 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7531 | 0 | 0 | 0 | 0 | 0 | 0 | 0.3912 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.9971 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.8363 | 0 | 0 | 0 | 0 | 0 | 0 | 0.6685 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.7259 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2791 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.3719 | 1 | 1 | 1 | 1 | 1 | 0 | 0.491 | 1 | 1 | 0 | 0 | 0 | |
| 1 | 0.0761 | 1 | 1 | 1 | 1 | 1 | 0 | 0.3066 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.8893 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0418 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7027 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1801 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.8811 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1908 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.7296 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5776 | 1 | 1 | 1 | 1 | 0 | |
| 1 | 0.8478 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2067 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.2812 | 1 | 1 | 1 | 1 | 1 | 0 | 0.3374 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.9962 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2028 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.5454 | 0 | 0 | 0 | 1 | 1 | 0 | 0.1532 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.9391 | 0 | 0 | 0 | 0 | 0 | 0 | 0.7933 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.7594 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2202 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.2357 | 1 | 1 | 1 | 1 | 1 | 0 | 0.8293 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.6554 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1667 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.6305 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1521 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.2933 | 1 | 1 | 1 | 1 | 1 | 0 | 0.8859 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.5296 | 0 | 0 | 0 | 1 | 1 | 0 | 0.1906 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.4461 | 0 | 1 | 1 | 1 | 1 | 0 | 0.2227 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.4246 | 0 | 1 | 1 | 1 | 1 | 0 | 0.6237 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.2454 | 1 | 1 | 1 | 1 | 1 | 0 | 0.1239 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.6183 | 0 | 0 | 0 | 0 | 0 | 0 | 0.469 | 1 | 1 | 0 | 0 | 0 | |
| 1 | 0.4692 | 0 | 0 | 1 | 1 | 1 | 0 | 0.7392 | 1 | 1 | 1 | 1 | 1 | |
| 1 | 0.5073 | 0 | 0 | 0 | 1 | 1 | 0 | 0.0372 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.4325 | 0 | 1 | 1 | 1 | 1 | 0 | 0.2682 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.5429 | 0 | 0 | 0 | 1 | 1 | 0 | 0.2315 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.9616 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0116 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.4268 | 0 | 1 | 1 | 1 | 1 | 0 | 0.2094 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.4347 | 0 | 1 | 1 | 1 | 1 | 0 | 0.0393 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.5251 | 0 | 0 | 0 | 1 | 1 | 0 | 0.2867 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.3472 | 1 | 1 | 1 | 1 | 1 | 0 | 0.5309 | 1 | 1 | 1 | 0 | 0 | |
| 1 | 0.8657 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0946 | 0 | 0 | 0 | 0 | 0 | |
| 1 | 0.5257 | 0 | 0 | 0 | 1 | 1 | 0 | 0.1782 | 0 | 0 | 0 | 0 | 0 | |
| 0 | 0.1813 | 0 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.8003 | 1 | 1 | 1 | 1 | 1 | ||||||||
| 0 | 0.1806 | 0 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.2345 | 0 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.0732 | 0 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.1729 | 0 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.4983 | 1 | 1 | 0 | 0 | 0 | ||||||||
| 0 | 0.3926 | 0 | 0 | 0 | 0 | 0 | ||||||||
| 0 | 0.2312 | 0 | 0 | 0 | 0 | 0 |