Question: Please use data below, use admission, beds, and service to predict Personnel 1. calculate VIF for admission 2. What is adjusted R square? What

Please use data below, use admission, beds, and service to predict Personnel 1. calculate VIF for admission 2. What is adjusted R square? What does it mean? 3. finish the global test, individual coefficient test analysis, improve the model. Hospital Geog Region Admission, Control Service Beds Census S Outpat Visits Births Tot. Exp. Payroll Personnel Exp. 1 1 2 1 210 7713 107 86982 312 56831 22061 792 2 1 1 1 347 16065 198 149222 1077 127223 55799 1762 3 1 2 1 511 23028 356 222565 1027 157093 61326 2310 4 1 1 142 4338 100 36710 355 24462 10503 328 6 7 9 10 11 12 13 14 15 16 17 18 19 STAGE 8533528 40 905 9 13350 163 13730 6368 181 220 15563 159 88721 3810 93257 33920 1077 137 5347 65 188885 735 45458 26919 742 4 80 636 48 10209 1 6151 2768 131 1 2 440 15954 253 77343 1733 98992 40956 1594 1 1 48 1827 21 33977 257 11569 5664 233 1 1 1 56 1617 27 17925 169 11356 5084 241 6 3 1 46 2954 30 27170 430 15200 7085 203 6 1 109 2805 43 30263 0 20848 9709 325 6 2 1 306 9871 233 43128 2049 62778 28958 676 6 4 1 7 756 2 96000 211 20300 12300 347 6 1 1 16 342 11 7217 16 3836 2015 79 6 3 1 167 8426 84 66073 2648 41417 20633 505 6 2 1 444 18258 219 170223 2450 144966 61667 1543 6 3 1 236 8280 112 31022 1465 67997 31285 755 20 6 3 1 247 5449 124 44425 0 123175 41899 959 21 6 3 1 93 5247 50 29551 1993 28318 12589 325 22 6 2 1 236 11301 142 90178 2275 88080 32191 954 23 6 2 1 220 9466 111 172146 1494 107313 38668 1091 24 6 1 1 228 10444 140 95649 1313 116436 49017 671 25 6 3 1 83 2648 28 15507 451 20625 3009 300 26 6 2 1 273 9249 154 51102 1689 67519 28066 753 27 6 2 1 225 7763 150 91654 1583 60080 21944 607 28 6 3 1 236 10688 144 68482 2017 94401 38757 929 29 6 3 1 80 6671 42 35221 995 26094 13464 354 30 6 2 1 78 7761 77 37370 2045 38825 15951 408 31 5 2 197 9553 119 153994 1686 105672 46710 1251 5 2 1 60 2730 27 16060 5 34 2 2 36 37 2 1 1 39 1 40 1 1222232-2 1 31 1112 15 36735 1 264 13395 179 267091 503 29444 126 153844 2026 12583 386 8496 3918 144 86780 2047 1 246 12264 175 140152 1412 128312 63615 1343 1 556 12811 461 68330 1517 122809 63516 1723 2 56 860 32 5778 0 7079 3202 96 1 120 5502 74 36461 0 50823 20346 529 1 674 26547 414 294682 2719 1 414 12260 253 81885 1074 367706 165344 85696 3694 34117 1042

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