Exam 3 (submit by Dec 1, 11:59 pm EST on Classes as a single PDF file)
Instruction: This is the third of the 4 exams in BMB 620. Complete the following questions in RMarkdown and submitted the generated PDF on Classes by the deadline. Make sure to show both the input and output.
1. Download the "leukemia_remission.txt" data from Classes. The data contain information on 27 leukemia patients. The response variable is whether leukemia remission has occu
ed (REMISS: 1=remiss; 0=no remiss). The predictors are cellularity of the ma
ow clot section (CELL), smear differential percentage of blasts (SMEAR), percentage of absolute ma
ow leukemia cell infiltrate (INFIL), percentage labeling index of the bone ma
ow leukemia cells (LI), absolute number of blasts in the peripheral blood (BLAST), and the highest temperature prior to start of treatment (TEMP).
a. Draw a scatterplot showing the relationship between the response and one of the predictors. Interpret the plot.
. Fit a logistic regression with REMISS as the response. Interpret the result.
c. Convert the model coefficients to probability of remiss. Interpret the result.
d. Use predict() to find the predicted probability of remiss using a new data set.
e. Build another logistic regression with different predictors. Compare the models in b and e.
f. Check the assumptions of your model in b.
2. Download the "CivilInjury_0.csv" data from Classes. The data contain the number of injuries during a fire in a day.
a. Extract the year and month from the `Injury Date` variable.
. Count the number of injuries within each month of each year.
c. Fit a Poisson regression with the number of injuries within a month of each year as the response. Interpret the result.
d. Check the assumptions of your model in c.
3. We want to randomly sample male and female college undergraduate students and ask them if they consume alcohol at least once a week. Our null hypothesis is no difference in the proportion. Our alternative hypothesis is that there is a difference. This is a two-sided alternative; one gender has higher proportion but we don't know which.
a. We would like to detect a difference as small as 5%. How many students do we need to sample in each group if we want 80% power and a significance level of 0.05?
. It turns out we were able to survey 543 males and 675 females. Find the power of our test if we're interested in being able to detect a “small” effect size with 0.05 significance.
c. Let's say we previously surveyed 763 female undergraduates and found that p% said they consumed alcohol once a week. We would like to survey some males and see if a significantly different proportion respond yes. How many do I need to sample to detect a small effect size (0.2) in either direction with 80% power and a significance level of 0.05?
4. Download the "USHospitals.txt" data from Classes. The data list outcome data on US hospitals, as reported by Medicare. In addition to the Provider variable (hospital id), there are 16 variables measured. The information of the 16 variables is below:
a. Use pairs() function to make pair-wise scatterplots between all 16 variables.
. Prepare the data for a principal component analysis (PCA).
c. Determine the number of components needed in your PCA.
d. Perform a PCA on the data. Extract the results and interpret the components.
e. Rotate the principal components and interpret the result.
5. Download the "hemangioma.txt" data from Classes. The data contain information on infants who were surgically treated for hemangioma. Hemangioma is the most common of all childhood cancer diagnoses. It appears as a lump of blood vessels on the skin. If left untreated it usually resolves within a few years. Some parents opt for surgical removal. Age (in days) and expression of genetic markers are given in the data.
a. Determine the number of factors in your exploratory factor analysis (EFA).
. Perform a EFA on the data.
c. Rotate the factors and interpret the result.
Age RB p16 DLK Nanog C-Myc EZH2 IGF-2
81 XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX
95 6.54 1.9 70988.3 381.83 1 7.09 5340.17
95 3.61 3.82 XXXXXXXXXX 237.28 0 5.57 6310.24
165 XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX 0 XXXXXXXXXX XXXXXXXXXX
286 XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX
299 XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX
380 XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX
418 7.06 3.38 XXXXXXXXXX 264.62 1.17 3.07 8038.53
420 6.39 3.37 XXXXXXXXXX 658.75 1.88 3.87 XXXXXXXXXX
547 6.36 4.05 XXXXXXXXXX 336.11 0.78 4.76 6505.15
590 XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX
635 6.7 2.67 XXXXXXXXXX 3072.5 0 4.35 XXXXXXXXXX
752 XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX
760 7.33 0.92 XXXXXXXXXX 697.57 1.77 3.32 XXXXXXXXXX
1171 XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX
1277 1.34 0.05 94.47 14.96 0.36 3.83 29.93
1520 4.02 2.79 XXXXXXXXXX 453.72 0.62 2.33 1162.69
2138 0.5 0 2330.59 33.11 0.03 0.17 66.49
3626 XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX
Provider SDeathN SDeathR LungN LungR ClotN ClotR SplitN SplitR CutsN CutsR HADeathR HADeathN HFDeathR HFDeathN PDeathR PDeathN
10001 157 140.58 15149 0.32 4941 1.47 393 0.9 15820 3.28 15 669 11.8 751 12.7 339
10005 29 123.92 4467 0.3 689 4.7 102 0.69 4584 1.5 17.3 35 14.7 213 15.9 339
10006 110 146.33 9962 0.5 2805 3.22 234 1.21 10577 3.09 18.6 307 12.6 563 15 785
10007 10 NA 2176 0.3 173 6.11 35 0.85 2220 1.74 NA 16 14.4 101 16.1 211
10008 NA NA 673 0.33 28 4.52 NA NA 707 1.9 NA 5 13.5 51 15.6 60
10011 173 143.09 10726 0.5 3776 4.58 340 1.55 11212 2.42 16.3 238 10.8 317 17.3 482
10012 25 124.21 3238 0.33 753 2.5 69 1.85 3360 2.12 16.2 100 16.4 134 15.8 243
10016 91 145.74 6551 0.21 2239 3.98 255 0.49 6907 2.03 14 213 13.2 257 13.1 318
10018 3 NA 93 0.34 73 4.36 NA NA 93 1.98 NA NA NA NA NA NA
10019 79 122.64 5638 0.27 1535 6.01 214 0.54 5728 2.51 17.2 70 11 277 15.3 331
10021 8 NA 1559 0.27 166 5.95 16 NA 1618 1.98 16.8 31 11.7 61 11.3 136
10022 NA NA 1116 0.32 68 4.43 17 NA 1137 1.68 NA 8 11.6 56 13.6 101
10023 170 155.29 11283 0.24 4551 2.59 413 0.91 11648 2.02 18.2 307 10.8 404 14.1 184
10024 95 124.56 9776 0.26 2888 2.12 237 0.5 10061 2.19 17.3 225 10.4 457 15.7 320
10025 11 NA 2544 0.26 333 2.31 78 3.75 2717 1.93 14 72 9.9 165 11.4 117
10027 NA NA 575 0.34 NA NA NA NA 594 1.95 NA 3 NA 23 11.8 67
10029 145 141.06 11112 0.33 4139 2.39 362 1.55 11457 2.58 17.1 275 11.8 632 12.8 257
10032 NA NA 695 0.32 3 NA NA NA 788 1.9 NA 12 11.8 49 13.7 103
10033 594 157.99 24057 0.71 10804 5.36 1617 0.4 26364 2.11 15.7 214 11.5 408 12.5 384
10034 7 NA 1450 0.3 103 4.11 21 NA 1596 1.98 NA 22 12.4 96 11.4 91
10035 54 165.41 6191 0.25 1550 2.81 173 0.58 6302 1.74 15.9 116 13.4 399 11.6 419
10036 19 NA 3265 0.27 540 5.08 75 0.76 3342 1.87 NA 16 11.7 150 11.4 238
10038 34 115.7 4672 0.35 1008 4.62 118 0.67 4882 1.98 16.5 67 12 194 11.8 215
10039 391 133.14 28969 0.24 10905 3.58 979 1.3 29981 1.89 15.4 1044 12.2 1414 12.9 910
10040 193 105.05 8787 0.66 2699 4.71 257 1.04 9063 1.71 16.7 218 11.2 365 15.5 408
10043 NA NA 528 0.32 NA NA NA NA 543 1.94 NA 2 11.3 30 12.6 52
10044 NA NA 1065 0.32 35 4.51 16 NA 1107 2.13 NA 8 11.6 57 8.4 163
10045 6 NA 1398 0.31 51 5.73 23 NA 1442 2 16.7 28 12.5 101 12.9 163
10046 108 123.37 8002 0.16 1795 3.85 170 0.56 8381 0.76 16.6 129 11.5 372 13.7 345
10047 NA NA 1520 0.32 NA NA NA NA 1583 1.81 15.2 31 12.4 64 11.8 98
10049 6 NA 3465 0.37 575 3.97 98 0.79 3548 2.4 16.6 36 14.1 141 12.8 180
10050 NA NA 1279 0.31 64 4.44 5 NA 1311 1.71 NA 19 12.4 58 16.6 135
10051 NA NA 612 0.34 NA NA NA NA 616 1.98 NA 1 11.2 34 11.6 34
10052 NA NA 965 0.33 NA NA NA NA 992 1.88 NA 6 10.7 37 9.8 87
10054 19 NA 3304 0.35 372 5.77 84 0.76 3403 2.18 16 33 11.2 189 12.8 210
10055 97 144.56 9736 0.23 3679 3.1 315 0.46 10048 1.85 13.4 320 12.7 500 11.1 437
10056 227 133.44 16369 0.49 6938 5.43 555 0.34 16407 2 15.3 268 11.1 477 12.8 515
10058 NA NA 269 0.34 NA NA NA NA 287 2.01 NA 2 NA 21 13.9 52
10059 NA NA 1876 0.42 11 NA NA NA 1935 1.73 NA 22 10 75 9.6 141
10061 18 NA 3883 0.28 273 7.01 33 2.03 3981 1.9 14.6 26 13.2 127 12.5 361
10062 5 NA 1642 0.31 94 4.28 27 0.87 1742 1.49 NA 17 13.8 100 14 194
10065 35 92.86 3068 0.43 659 5 86 1.75 3155 3.72 17.2 72 12.3 157 16.2 187
10066 NA NA 571 0.32 3 NA NA NA 576 1.94 NA 1 10.2 41 10.9 79
10069 NA NA 1469 0.32 65 4.39 28 0.88 1494 1.61 NA 10 14.9 98 15.8 123
10073 NA NA 1249 0.32 11 NA 6 NA 1269 1.8 NA 21 14.3 66 12.4 115
10078 155 132.64 9964 0.24 3286 4.89 313 3.22 10694 3.48 16.2 438 10.9 603 13.6 398
10079 15 NA 3284 0.33 381 6.84 74 0.76 3404 2.15 14.7 33 10.8 181 11.6 231
10083 44 115.25 4869 0.44 922 2.86 165 1.34 4993 2.07 15.9 70 14.3 284 10.5 264
10085 86 115.24 6444 0.36 1490 3.2 241 0.49 6736 2.51 15.6 68 12.8 394 12.9 346
10086 13 NA 2423 0.29 362 5.1 53 0.76 2637 1.48 14.1 28 11.5 83 13.3 246
10087 46 176.12 2210 0.63 902 6.26 142 0.6 2403 2.77 NA 10 NA 22 NA 22
10089 27 115.6 4605 0.21 1042 2.48 53 0.77 4525 1.16 16 66 11.1 224 11.2 276
10090 117 138.33 9259 0.44 3465 5.93 297 1.09 9632 2.74 15.7 202 13.5 488 11.4 483
10091 NA NA 645 0.33 14 NA 4 NA 663 1.88 NA 4 10.5 54 11.5 45
10092 399 117.05 21658 0.38 5586 6.16 667 0.99 23084 1.31 14.7 398 12.6 883 12 790
10095 NA NA 583 0.33 NA NA NA NA 590 1.97 NA 7 10.2 39 11.2 29
10097 NA NA 1381 0.31 NA NA NA NA 1414 1.88 NA 16 11 37 11.7 70
10099 8 NA 2186 0.3 129 5.18 60 1.94 2227 3.2 15.9 28 13.8 101 13.3 168
10100 73 146.15 5702 0.33 2481 4.31 179 0.57 6346 3.38 16.8 170 13.6 299 13.9 185
10101 10 NA 2266 0.28 208 5.88 57 0.72 2306 2.15 16.8 35 15.6 119 11.1 105
10102 NA NA 259 0.34 NA NA NA NA 272 2.01 NA 2 NA 15 11.3 39
10103 259 124.73 11258 0.46 4487 4 496 0.8 12366 2.73 14.7 307 12.2 366 13.6 324
10104 219 138.31 10302 0.33 4083 5.81 437 0.36 10809 3.3 16 297 12.4 330 15.3 278
10108 7 NA 1759 0.3 87 4.06 35 0.8 1822 3.23 14 31 11.6 121 14.4 180
10109 4 NA 1321 0.31 65 4.17 26 0.88 1355 1.59 NA 11 14.6 60 12.6 152
10110 NA NA 962 0.33 NA NA NA NA 978 1.94 NA 3 12.2 38 12.4 27
10112 NA NA 2708 0.3 207 3.74 18 NA 2751 1.49 NA 21 9.7 108 8.5 126
10113 269 163.02 21351 0.43 7200 9.17 866 0.53 22242 1.19 18.2 256 11.8 748 14.2 580
10114 63 155.25 4713 0.57 1013 4.06 171 0.58 4974 4.42 14.4 102 11.2 199 11.6 205
10118 67 110.13 5958 0.44 1039 6.39 122 0.68 6165 1.65 15.3 129 11.1 316 14.1 227
10120 3 NA 1578 0.43 41 4.52 21 NA 1624 2.43 NA 23 13.3 85 14.8 172
10125 3 NA 1968 0.31 65 5.76 23 NA 2046 1.97 NA 14 13.5 110 11.6 322
10126 9 NA 1784 0.3 155 3.89 31 0.84 1823 1.48 NA 19 10.3 83 11.9 120
10128 NA NA 718 0.33 7 NA NA NA 730 1.91 NA 2 11.5 28 11.1 52
10129 9 NA 883 0.32 114 4.01 33 0.86 930 2.61 NA 10 11.8 42 14 90
10130 NA NA 992 0.43 5 NA NA NA 1021 1.88 NA 5 10.8 89 11 158
10131 76 135.11 7868 0.28 2621 4.8 218 0.51 7542 2.57 12.9 182 13 308 12.1 328
10138 NA NA 442 0.34 NA NA NA NA 443 2.02 NA 2 NA 8 NA 7
10139 181 137.17 11614 0.3 4523 8.86 637 0.34 11568 2.08 15.9 254 13.4 405 12.8 513
10144 79 114.66 5110 0.63 1675 6.23 173 0.61 5484 3.01 15.7 128 12.5 344 14.1 197
10146 6 NA 1335 0.41 74 4.37 13 NA 1384 1.64 NA 24 14.2 48 16.9 126
10148 NA NA 2079 0.32 22 NA NA NA 2134 1.72 NA 14 10.1 132 11.7 65
10149 33 117.48 4590 0.28 817 2.06 186 0.55 4698 1.77 13.7 79 9.7 293 10.3 212
10150 11 NA 1586 0.31 170 3.92 42 0.82 1634 3.69 NA 20 11.4 91 12.8 87
10157 28 137.03 1436 0.3 274 8.12 79 0.73 1535 2.07 NA 3 14 65 11.8 137
10158 36 118.89 2569 0.38 536 3.78 93 0.77 2603 3.75 13.8 31 13.7 114 14.1 219
10164 25 139.66 2998 0.45 333 4.59 122 1.62 3104 2.61 14.6 44 13 139 10.3 252
10168 35 106.95 2406 0.3 1990 4.53 13 NA 2194 1.31 NA 6 11.4 27 11.6 40
10169 3 NA 1583 0.31 55 4.3 18 NA 1622 1.92 NA 18 10.4 149 12.8 96
11300 NA NA NA NA NA NA NA NA NA NA NA 3 NA 22 14.6 28
11302 NA NA NA NA NA NA NA NA NA NA NA 2 12.6 26 10.8 42
11304 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 3
13301 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
20001 142 98.62 7817 0.19 3287 2.87 335 0.45 8132 3.8 13.3 285 15.2 358 11.5 256
20006 27 117.98 2854 0.25 682 3.05 161 2.2 2973 3.57 17.7 67 14 126 12.4 197
20008 6 NA 1060 0.32 214 3.54 26 0.88 1079 1.56 NA 20 11.5 42 10.8 80
20012 32 114.94 2390 0.33 646 2.94 142 0.6 2494 2.87 15.2 79 14.8 103 13.2 97
20017 80 130.63 2832 0.3 1832 5.47 182 0.54 2900 1.84 15.2 78 13.4 74 14.1 68
20018 NA NA 526 0.33 NA NA NA NA 540 1.95 NA 1 11.2 33 9.5 137
20024 7 NA 1458 0.3 366 4.87 70 0.76 1534 2.01 NA 17 10.8 63 10.9 94
20026 52 128.06 2838 0.47 877 3.66 188 0.56 2894 3.63 15.9 38 13.4 73 14.2 150
20027 NA NA 531 0.32 65 4.32 23 NA 549 2.67 NA 2 NA 16 15.5 39
21301 NA NA NA NA NA NA NA NA NA NA NA 1 NA 3 NA 9
21302 NA NA NA NA NA NA NA NA NA NA NA 3 NA 7 NA 10
21303 NA NA NA NA NA NA NA NA NA NA NA 8 NA 9 11.4 31
21304 NA NA NA NA NA NA NA NA NA NA NA 1 NA 6 NA 13
21305 NA NA NA NA NA NA NA NA NA NA NA 4 NA 9 NA 18
21306 NA NA NA NA NA NA NA NA NA NA NA 2 NA 21 11.6 40
21307 NA NA NA NA NA NA NA NA NA NA NA NA NA 1 NA 2
21308 NA NA NA NA NA NA NA NA NA NA NA 1 NA 15 11.9 26
21309 NA NA NA NA NA NA NA NA NA NA NA 3 NA 7 NA 15
21311 NA NA NA NA NA NA NA NA NA NA NA 10 11.2 28 13.1 77
21313 NA NA NA NA NA NA NA NA NA NA NA 9 NA 24 12.4 60
30001 3 NA 1153 0.29 83 5.41 10 NA 1204 1.98 NA 17 11.5 27 11.1 34
30002 401 87.13 18790 0.45 7937 3.15 1096 0.75 20073 1.85 14.2 179 9.9 302 11.1 182
30006 268 107.7 16237 0.45 7205 6.21 673 2.55 16898 2.37 14.4 368 13.6 449 11.9 443
30007 44 120.18 3487 0.34 1199 3.8 183 0.54 3698 1.02 18.3 136 10.2 160 12.4 210
30010 85 118.36 6523 0.21 1917 4.01 209 1.12 6701 1.49 18.4 180 12.8 183 9.9 207
30011 136 129.68 9412 0.23 3232 3.93 415 0.89 9584 3.53 17.3 201 10.4 319 14.8 408
30012 131 101.05 7340 0.65 2765 3.01 274 1.68 7760 3.13 14.9 298 12.6 222 11.8 382
30013 154 124.86 11207 0.31 2792 3.07 331 0.41 12152 2.35 11.7 526 12.8 508 16.7 935
30014 143 102.04 10296 0.37 3308 4.53 345 0.93 10911 2.73 15.7 96 11.5 229 11 168
30016 36 100.91 4574 0.52 999 5.28 182 1.33 4875 2.12 14.4 83 12.3 131 14 275
30022 44 130.67 2158 0.26 546 12.23 64 0.75 2331 2.34 NA 11 NA 10 NA 20
30023 102 133.17 6364 0.21 3174 2.66 230 0.43 6201 1.85 12.5 164 13.2 186 9.3 251
30024 376 80.89 12767 0.51 5826 5.43 520 0.9 12847 3.7 16.6 145 11.6 161 12.1 151
30030 123 92.49 4824 0.18 2123 4.19 224 1.26 5215 2.84 15.2 141 11 143 15.3 87
30033 37 79.12 2475 0.24 644 4.32 121 0.62 2619 1.46 NA 24 11.5 96 13 78
30036 98 109.51 7031 0.32 1988 2.89 214 1.2 7797 1.91 15.2 221 12.1 313 11.5 354
30037 42 97.66 2786 0.41 1596 2.53 97 0.74 2985 2.31 14.7 40 11.2 63 13.6 51
30038 188 77.56 11110 0.45 3809 3.7 300 0.95 11784 1.86 15 172 9.3 384 11.8 355
30043 38 111.34 4079 0.33 696 5.78 168 1.38 4351 3.76 16.8 145 11.8 207 10.9 238
30055 78 105.45 6508 0.34 1572 3.9 236 0.43 7057 3.37 16.4 179 9.9 289 12.9 448
30061 221 107.79 24223 0.23 7612 3.13 724 0.58 25772 1.24 15.2 465 12.2 636 10.9 577
30062 26 104.08 2233 0.26 811 5.07 128 0.64 2368 1.78 14.4 56 12.2 76 12 142
30064 242 99.94 10991 0.48 4148 3.15 618 0.67 12030 3.37 12.8 217 10.9 234 10.6 287
30065 180 100.63 10272 0.4 3432 3.89 587 1.11 10688 1.39 14.6 189 10.3 315 10.3 331
30067 5 NA 1094 0.37 163 3.94 39 0.8 1124 1.4 15.2 46 12 54 10.3 123
30068 4 NA 1208 0.31 216 3.54 27 0.85 1289 2.18 NA 13 15.5 51 11.5 153
30069 56 107.85 5653 0.19 2212 4.5 227 1.22 6044 2 18.4 242 12.8 286 15.4 249
30071 3 NA 830 0.31 103 4.28 26 0.88 867 1.67 NA 5 NA 21 10 169
30073 20 NA 1344 0.3 330 3.23 33 0.89 1391 1.45 NA 5 11.4 43 10.2 193
30074 NA NA 93 0.34 NA NA NA NA 94 2.04 NA NA NA NA NA 10
30077 NA NA 29 0.34 NA NA NA NA 29 2.05 NA NA NA NA NA 2
30078 NA NA 372 0.45 92 5.53 24 NA 386 2.76 NA NA NA 4 10.7 37
30083 33 110.48 2158 0.45 552 3.27 72 0.77 2247 2.46 15.3 45 12.4 63 13.6 116
30084 4 NA 867 0.31 90 4.29 24 NA 888 1.63 NA 11 10.7 38 10.7 143
30085 136 79.97 9415 0.35 4179 4.16 361 1.58 9642 3.6 17.7 156 13.1 279 13.7 458
30087 189 104.9 12831 0.28 5706 4.17 645 0.61 13654 2.25 14 269 8.8 472 10.5 519
30088 118 75.45 14843 0.32 2917 4.37 555 1.86 15643 1.42 16.6 46 13.1 436 10.1 626
30089 162 76.56 9569 0.19 2682 4.64 325 1.48 10264 1.76 16.1 175 9 389 8 353
30092 119 83.73 6611 0.28 2219 5.4 209 1.22 7301 1.56 13.4 114 11.2 168 10 192
30093 89 97.75 12976 0.26 3180 3.4 345 0.4 13633 1.9 13.4 394 12.9 493 12.1 578
30094 64 87.43 4047 0.44 1466 4.02 128 1.53 4351 1.87 15 74 11.7 123 12 177
30100 47 96.62 2182 0.62 1042 4.23 20 NA 2580 5.39 13 188 10 185 12.7 87
30101 55 109.62 5802 0.44 1449 4.32 173 0.57 5962 1.24 15.8 180 11.8 313 12.3 211
30103 382 54.89 13619 0.34 6378 3 1025 0.73 14818 0.88 12.7 212 10.2 386 7.9 457
30105 62 95.24 4369 0.61 2425 2.65 26 0.88 5118 1.41 14.4 407 9.8 606 13.9 25
30107 12 NA 871 0.33 853 2.91 6 NA 723 1.75 NA NA NA NA NA NA
30108 4 NA 780 0.33 750 2.78 NA NA 358 1.26 NA NA NA NA NA NA
30110 58 88.01 3589 0