What techniques can SWC use to forecast enrollment for the next academic year? Can you show us several techniques in detail? This is just a partial data chart. I am looking at how do solve this. Using Exce. I OBS SALARY REGION Cost TOTSTUD FACULTY HSGPA LIBVOL RANK 1 84630 East 32491.2 6855.75 360 3.04 460.6 50 2 120658.2 North 21173.04 7053.75 124.8 3.23 630 22 3 72056.4 South 26208 5816.25 153.6 2.945 294 138 4 166842 East 36944.88 2499.75 264 3.629 1190 4 5 157170 East 38174.64 5890.5 244.8 3.515 756 9 6 73532.16 South 11491.2 3737.25 105.6 3.002 308 125 7 97506.24 North 33618.48 5445 220.8 3.135 427 56 8 71936.28 East 27236.16 16805.25 544.8 2.945 673.4 139 9 162006 North 35686.56 5024.25 292.8 3.42 779.8 15 10 87048 East 28764.96 7548.75 165.6 3.04 572.6 71 11 76650.6 West 16569.84 3861 105.6 3.23 435.4 99 12 62868 South 14846.16 4826.25 108 2.964 309.4 176 13 152575.8 West 23273.04 3960 100.8 3.2775 519.4 28 14 72540 South 26814.48 3836.25 129.6 2.945 352.8 106 15 84388.2 West 30885.12 10147.5 206.4 2.9925 476 76 16 76408.8 East 24398.64 4380.75 160.8 3.23 455 95 17 84146.4 South 18266.64 5271.75 105.6 3.116 366.8 81 18 89224.2 West 23069.76 3935.25 151.2 3.116 343 97 19 145496.52 East 35360.64 2376 216 3.515 630 10 20 71646.12 West 31978.8 6113.25 105.6 2.85 322 157 21 118482 West 19005.84 3663 182.4 3.4485 630 26 22 84388.2 East 32783.52 6657.75 206.4 3.3725 448 51 23 69638.4 North 12803.28 4950 228 3.059 350 164 24 83421 North 23570.4 3836.25 74.4 3.135 266 77 25 82527.12 West 27063.12 5865.75 288 2.983 280 80 26 93698.28 West 29237.04 7078.5 139.2 3.154 294 62 27 125736 West 33075.84 4950 127.2 3.325 462 27 28 89949.6 South 23236.08 4950 180 3.3535 742 60 29 98148.96 South 12544.56 4207.5 84 3.135 364 55 30 133988.4 East 32166.96 9429.75 338.4 3.249 658 24 31 157170 West 22328.88 6657.75 211.2 3.515 840 6 32 72540 North 24568.32 6435 496.8 3.04 392 114 33 94302 South 14180.88 7672.5 297.6 3.135 560 49 34 74232.6 West 24835.44 4653 134.4 3.04 277.2 113 35 151621.08 East 35923.44 15914.25 648 3.344 1019.2 19 36 65286 West 13666.8 2376 57.6 3.0875 204.4 133 37 128581.44 North 30864.96 4331.25 158.4 3.2775 476 36 38 137826 South 33309.36 4628.25 199.2 3.439 460.6 17 39 95511 North 25164.72 4182.75 134.4 3.04 308 41 40 111477.6 South 33875.52 5841 206.4 3.23 364 44 41 87048 South 16477.44 5346 148.8 2.85 364 101 42 72053.28 North 16341.36 7053.75 134.4 2.8595 427 122 43 79310.4 North 20880.72 3316.5 134.4 3.2015 474.6 91 44 83179.2 West 24739.68 4801.5 112.8 3.002 275.8 75 45 79794 South 19620.72 3341.25 127.2 3.135 460.6 93 46 70122 East 27651.12 12870 343.2 3.135 420 109 47 189390.24 East 40993.68 8538.75 266.4 3.42 1029 8 48 75683.4 East 9641.52 7969.5 266.4 2.964 322 146 49 84630 North 12393.36 5791.5 175.2 3.1825 581 68 50 81366.48 East 30782.64 6311.25 189.6 3.135 492.8 73 51 71327.88 South 14904.96 4182.75 492 2.945 483 118 52 68719.56 East 26757.36 2351.25 60 3.135 392 151 53 87048 West 12951.12 7474.5 103.2 3.2585 455 63 54 119258.88 East 25038.72 4405.5 132 3.173 420 18 55 152334 West 23572.08 8662.5 254.4 3.3915 658 14 56 81970.2 South 22622.88 5049 153.6 3.135 484.4 82 57 100347 West 33129.6 5197.5 228 3.04 666.4 42 58 71331 South 24556.56 11484 235.2 2.85 406 169 59 76892.4 East 32069.52 6212.25 132 3.1065 364 128 60 76167 West 13923.84 1955.25 45.6 3.23 243.6 144 61 96236.4 East 21008.4 5989.5 93.6 3.2205 550.2 61 62 62868 South 13399.68 4356 100.8 2.9925 225.4 173 63 75683.4 West 30386.16 9281.25 211.2 3.04 291.2 116 64 71936.28 West 27006 6088.5 264 3.04 455 124 65 62868 East 32266.08 5742 206.4 3.135 392 163 66 71814.6 East 26545.68 4083.75 177.6 3.1445 350 112 67 78101.4 West 26428.08 5791.5 172.8 3.0685 336 89 68 71669.52 South 27760.32 5568.75 160.8 2.945 322 156 69 102281.4 West 29111.04 8439.75 218.4 3.04 385 48 70 71331 East 22263.36 9949.5 271.2 2.9165 338.8 115 71 79552.2 North 27773.76 9231.75 288 3.1065 436.8 83 72 83904.6 East 31563.84 11236.5 391.2 3.002 442.4 88 73 79310.4 East 30366 3291.75 252 3.1255 536.2 85 74 72903.48 South 14831.04 4108.5 108 3.04 344.4 141 75 91884 East 25861.92 6459.75 271.2 3.1825 455 58 76 60450 East 28654.08 7078.5 172.8 2.66 434 175 77 71814.6 South 27857.76 6657.75 182.4 2.85 375.2 152 78 124503.6 East 26735.52 3093.75 127.2 3.2965 415.8 17 79 84630 North 26869.92 4331.25 110.4 3.135 301 70 80 94302 West 23788.8 3687.75 105.6 3.325 407.4 54 81 94302 South 34596.24 6336 108 3.021 616 43 82 156879.84 East 35903.28 13538.25 494.4 3.135 574 23 83 82212 West 16680.72 4009.5 148.8 3.23 425.6 98 84 77600.64 East 19709.76 4950 153.6 3.135 268.8 90 85 73942.44 West 15624 1881 96 3.249 323.4 140 86 81970.2 South 19163.76 3514.5 103.2 3.04 330.4 94 87 84026.28 South 20129.76 3737.25 93.6 2.85 308 86 88 83904.6 East 30989.28 11063.25 396 2.85 527.8 87 89 69880.2 East 32084.64 5172.75 146.4 3.0685 231 111 90 120900 North 24151.68 5172.75 141.6 3.3155 714 31 91 94302 West 30964.08 5964.75 240 3.0115 343 57 92 79480.44 East 32924.64 6682.5 206.4 3.0875 593.6 35 93 85839 South 8574.72 5742 153.6 2.945 364 102 94 157170 North 37727.76 9429.75 256.8 3.4865 1050 3 95 71811.48 North 32343.36 3440.25 108 2.85 315 137 96 90916.8 East 20880.72 5494.5 98.4 3.059 630 65 97 84630 South 25134.48 6410.25 156 3.135 560 69 98 65286 South 18093.6 5692.5 120 2.5935 420 171 99 118482 West 17041.92 3069 146.4 3.3725 369.6 30 100 72540 East 21036.96 5940 182.4 3.04 456.4 119 101 71936.28 North 18322.08 1905.75 72 3.04 173.6 123 102 163215 East 35795.76 4727.25 148.8 3.3725 560 11 103 68913 East 23340.24 2945.25 93.6 3.04 205.8 172 104 80277.6 South 14747.04 1732.5 115.2 3.477 219.8 92 105 71572.8 North 20430.48 5742 153.6 2.945 364 155 106 89466 East 29984.64 5643 194.4 3.2395 588 64 107 152334 West 36538.32 4455 136.8 3.591 579.6 7 108 99863.4 North 24188.64 5568.75 151.2 3.325 826 34 109 72903.48 South 11497.92 3687.75 120 2.964 322 158 110 101556 West 28062.72 10815.75 232.8 3.078 399 38 111 74958 North 22379.28 6534 165.6 3.135 574
What techniques can SWC use to forecast enrollment for the next academic year? Can you show us several techniques in detail? This is just a partial data chart. I am looking at how do solve this. Using Exce. I OBS SALARY REGION Cost TOTSTUD FACULTY HSGPA LIBVOL RANK 1 84630 East 32491.2 6855.75 360 3.04 460.6 50 2 120658.2 North 21173.04 7053.75 124.8 3.23 630 22 3 72056.4 South 26208 5816.25 153.6 2.945 294 138 4 166842 East 36944.88 2499.75 264 3.629 1190 4 5 157170 East 38174.64 5890.5 244.8 3.515 756 9 6 73532.16 South 11491.2 3737.25 105.6 3.002 308 125 7 97506.24 North 33618.48 5445 220.8 3.135 427 56 8 71936.28 East 27236.16 16805.25 544.8 2.945 673.4 139 9 162006 North 35686.56 5024.25 292.8 3.42 779.8 15 10 87048 East 28764.96 7548.75 165.6 3.04 572.6 71 11 76650.6 West 16569.84 3861 105.6 3.23 435.4 99 12 62868 South 14846.16 4826.25 108 2.964 309.4 176 13 152575.8 West 23273.04 3960 100.8 3.2775 519.4 28 14 72540 South 26814.48 3836.25 129.6 2.945 352.8 106 15 84388.2 West 30885.12 10147.5 206.4 2.9925 476 76 16 76408.8 East 24398.64 4380.75 160.8 3.23 455 95 17 84146.4 South 18266.64 5271.75 105.6 3.116 366.8 81 18 89224.2 West 23069.76 3935.25 151.2 3.116 343 97 19 145496.52 East 35360.64 2376 216 3.515 630 10 20 71646.12 West 31978.8 6113.25 105.6 2.85 322 157 21 118482 West 19005.84 3663 182.4 3.4485 630 26 22 84388.2 East 32783.52 6657.75 206.4 3.3725 448 51 23 69638.4 North 12803.28 4950 228 3.059 350 164 24 83421 North 23570.4 3836.25 74.4 3.135 266 77 25 82527.12 West 27063.12 5865.75 288 2.983 280 80 26 93698.28 West 29237.04 7078.5 139.2 3.154 294 62 27 125736 West 33075.84 4950 127.2 3.325 462 27 28 89949.6 South 23236.08 4950 180 3.3535 742 60 29 98148.96 South 12544.56 4207.5 84 3.135 364 55 30 133988.4 East 32166.96 9429.75 338.4 3.249 658 24 31 157170 West 22328.88 6657.75 211.2 3.515 840 6 32 72540 North 24568.32 6435 496.8 3.04 392 114 33 94302 South 14180.88 7672.5 297.6 3.135 560 49 34 74232.6 West 24835.44 4653 134.4 3.04 277.2 113 35 151621.08 East 35923.44 15914.25 648 3.344 1019.2 19 36 65286 West 13666.8 2376 57.6 3.0875 204.4 133 37 128581.44 North 30864.96 4331.25 158.4 3.2775 476 36 38 137826 South 33309.36 4628.25 199.2 3.439 460.6 17 39 95511 North 25164.72 4182.75 134.4 3.04 308 41 40 111477.6 South 33875.52 5841 206.4 3.23 364 44 41 87048 South 16477.44 5346 148.8 2.85 364 101 42 72053.28 North 16341.36 7053.75 134.4 2.8595 427 122 43 79310.4 North 20880.72 3316.5 134.4 3.2015 474.6 91 44 83179.2 West 24739.68 4801.5 112.8 3.002 275.8 75 45 79794 South 19620.72 3341.25 127.2 3.135 460.6 93 46 70122 East 27651.12 12870 343.2 3.135 420 109 47 189390.24 East 40993.68 8538.75 266.4 3.42 1029 8 48 75683.4 East 9641.52 7969.5 266.4 2.964 322 146 49 84630 North 12393.36 5791.5 175.2 3.1825 581 68 50 81366.48 East 30782.64 6311.25 189.6 3.135 492.8 73 51 71327.88 South 14904.96 4182.75 492 2.945 483 118 52 68719.56 East 26757.36 2351.25 60 3.135 392 151 53 87048 West 12951.12 7474.5 103.2 3.2585 455 63 54 119258.88 East 25038.72 4405.5 132 3.173 420 18 55 152334 West 23572.08 8662.5 254.4 3.3915 658 14 56 81970.2 South 22622.88 5049 153.6 3.135 484.4 82 57 100347 West 33129.6 5197.5 228 3.04 666.4 42 58 71331 South 24556.56 11484 235.2 2.85 406 169 59 76892.4 East 32069.52 6212.25 132 3.1065 364 128 60 76167 West 13923.84 1955.25 45.6 3.23 243.6 144 61 96236.4 East 21008.4 5989.5 93.6 3.2205 550.2 61 62 62868 South 13399.68 4356 100.8 2.9925 225.4 173 63 75683.4 West 30386.16 9281.25 211.2 3.04 291.2 116 64 71936.28 West 27006 6088.5 264 3.04 455 124 65 62868 East 32266.08 5742 206.4 3.135 392 163 66 71814.6 East 26545.68 4083.75 177.6 3.1445 350 112 67 78101.4 West 26428.08 5791.5 172.8 3.0685 336 89 68 71669.52 South 27760.32 5568.75 160.8 2.945 322 156 69 102281.4 West 29111.04 8439.75 218.4 3.04 385 48 70 71331 East 22263.36 9949.5 271.2 2.9165 338.8 115 71 79552.2 North 27773.76 9231.75 288 3.1065 436.8 83 72 83904.6 East 31563.84 11236.5 391.2 3.002 442.4 88 73 79310.4 East 30366 3291.75 252 3.1255 536.2 85 74 72903.48 South 14831.04 4108.5 108 3.04 344.4 141 75 91884 East 25861.92 6459.75 271.2 3.1825 455 58 76 60450 East 28654.08 7078.5 172.8 2.66 434 175 77 71814.6 South 27857.76 6657.75 182.4 2.85 375.2 152 78 124503.6 East 26735.52 3093.75 127.2 3.2965 415.8 17 79 84630 North 26869.92 4331.25 110.4 3.135 301 70 80 94302 West 23788.8 3687.75 105.6 3.325 407.4 54 81 94302 South 34596.24 6336 108 3.021 616 43 82 156879.84 East 35903.28 13538.25 494.4 3.135 574 23 83 82212 West 16680.72 4009.5 148.8 3.23 425.6 98 84 77600.64 East 19709.76 4950 153.6 3.135 268.8 90 85 73942.44 West 15624 1881 96 3.249 323.4 140 86 81970.2 South 19163.76 3514.5 103.2 3.04 330.4 94 87 84026.28 South 20129.76 3737.25 93.6 2.85 308 86 88 83904.6 East 30989.28 11063.25 396 2.85 527.8 87 89 69880.2 East 32084.64 5172.75 146.4 3.0685 231 111 90 120900 North 24151.68 5172.75 141.6 3.3155 714 31 91 94302 West 30964.08 5964.75 240 3.0115 343 57 92 79480.44 East 32924.64 6682.5 206.4 3.0875 593.6 35 93 85839 South 8574.72 5742 153.6 2.945 364 102 94 157170 North 37727.76 9429.75 256.8 3.4865 1050 3 95 71811.48 North 32343.36 3440.25 108 2.85 315 137 96 90916.8 East 20880.72 5494.5 98.4 3.059 630 65 97 84630 South 25134.48 6410.25 156 3.135 560 69 98 65286 South 18093.6 5692.5 120 2.5935 420 171 99 118482 West 17041.92 3069 146.4 3.3725 369.6 30 100 72540 East 21036.96 5940 182.4 3.04 456.4 119 101 71936.28 North 18322.08 1905.75 72 3.04 173.6 123 102 163215 East 35795.76 4727.25 148.8 3.3725 560 11 103 68913 East 23340.24 2945.25 93.6 3.04 205.8 172 104 80277.6 South 14747.04 1732.5 115.2 3.477 219.8 92 105 71572.8 North 20430.48 5742 153.6 2.945 364 155 106 89466 East 29984.64 5643 194.4 3.2395 588 64 107 152334 West 36538.32 4455 136.8 3.591 579.6 7 108 99863.4 North 24188.64 5568.75 151.2 3.325 826 34 109 72903.48 South 11497.92 3687.75 120 2.964 322 158 110 101556 West 28062.72 10815.75 232.8 3.078 399 38 111 74958 North 22379.28 6534 165.6 3.135 574
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
What techniques can SWC use to forecast enrollment for the next academic year? Can you show us several techniques in detail? This is just a partial data chart. I am looking at how do solve this. Using Exce.
I
OBS | SALARY | REGION | Cost | TOTSTUD | FACULTY | HSGPA | LIBVOL | RANK |
1 | 84630 | East | 32491.2 | 6855.75 | 360 | 3.04 | 460.6 | 50 |
2 | 120658.2 | North | 21173.04 | 7053.75 | 124.8 | 3.23 | 630 | 22 |
3 | 72056.4 | South | 26208 | 5816.25 | 153.6 | 2.945 | 294 | 138 |
4 | 166842 | East | 36944.88 | 2499.75 | 264 | 3.629 | 1190 | 4 |
5 | 157170 | East | 38174.64 | 5890.5 | 244.8 | 3.515 | 756 | 9 |
6 | 73532.16 | South | 11491.2 | 3737.25 | 105.6 | 3.002 | 308 | 125 |
7 | 97506.24 | North | 33618.48 | 5445 | 220.8 | 3.135 | 427 | 56 |
8 | 71936.28 | East | 27236.16 | 16805.25 | 544.8 | 2.945 | 673.4 | 139 |
9 | 162006 | North | 35686.56 | 5024.25 | 292.8 | 3.42 | 779.8 | 15 |
10 | 87048 | East | 28764.96 | 7548.75 | 165.6 | 3.04 | 572.6 | 71 |
11 | 76650.6 | West | 16569.84 | 3861 | 105.6 | 3.23 | 435.4 | 99 |
12 | 62868 | South | 14846.16 | 4826.25 | 108 | 2.964 | 309.4 | 176 |
13 | 152575.8 | West | 23273.04 | 3960 | 100.8 | 3.2775 | 519.4 | 28 |
14 | 72540 | South | 26814.48 | 3836.25 | 129.6 | 2.945 | 352.8 | 106 |
15 | 84388.2 | West | 30885.12 | 10147.5 | 206.4 | 2.9925 | 476 | 76 |
16 | 76408.8 | East | 24398.64 | 4380.75 | 160.8 | 3.23 | 455 | 95 |
17 | 84146.4 | South | 18266.64 | 5271.75 | 105.6 | 3.116 | 366.8 | 81 |
18 | 89224.2 | West | 23069.76 | 3935.25 | 151.2 | 3.116 | 343 | 97 |
19 | 145496.52 | East | 35360.64 | 2376 | 216 | 3.515 | 630 | 10 |
20 | 71646.12 | West | 31978.8 | 6113.25 | 105.6 | 2.85 | 322 | 157 |
21 | 118482 | West | 19005.84 | 3663 | 182.4 | 3.4485 | 630 | 26 |
22 | 84388.2 | East | 32783.52 | 6657.75 | 206.4 | 3.3725 | 448 | 51 |
23 | 69638.4 | North | 12803.28 | 4950 | 228 | 3.059 | 350 | 164 |
24 | 83421 | North | 23570.4 | 3836.25 | 74.4 | 3.135 | 266 | 77 |
25 | 82527.12 | West | 27063.12 | 5865.75 | 288 | 2.983 | 280 | 80 |
26 | 93698.28 | West | 29237.04 | 7078.5 | 139.2 | 3.154 | 294 | 62 |
27 | 125736 | West | 33075.84 | 4950 | 127.2 | 3.325 | 462 | 27 |
28 | 89949.6 | South | 23236.08 | 4950 | 180 | 3.3535 | 742 | 60 |
29 | 98148.96 | South | 12544.56 | 4207.5 | 84 | 3.135 | 364 | 55 |
30 | 133988.4 | East | 32166.96 | 9429.75 | 338.4 | 3.249 | 658 | 24 |
31 | 157170 | West | 22328.88 | 6657.75 | 211.2 | 3.515 | 840 | 6 |
32 | 72540 | North | 24568.32 | 6435 | 496.8 | 3.04 | 392 | 114 |
33 | 94302 | South | 14180.88 | 7672.5 | 297.6 | 3.135 | 560 | 49 |
34 | 74232.6 | West | 24835.44 | 4653 | 134.4 | 3.04 | 277.2 | 113 |
35 | 151621.08 | East | 35923.44 | 15914.25 | 648 | 3.344 | 1019.2 | 19 |
36 | 65286 | West | 13666.8 | 2376 | 57.6 | 3.0875 | 204.4 | 133 |
37 | 128581.44 | North | 30864.96 | 4331.25 | 158.4 | 3.2775 | 476 | 36 |
38 | 137826 | South | 33309.36 | 4628.25 | 199.2 | 3.439 | 460.6 | 17 |
39 | 95511 | North | 25164.72 | 4182.75 | 134.4 | 3.04 | 308 | 41 |
40 | 111477.6 | South | 33875.52 | 5841 | 206.4 | 3.23 | 364 | 44 |
41 | 87048 | South | 16477.44 | 5346 | 148.8 | 2.85 | 364 | 101 |
42 | 72053.28 | North | 16341.36 | 7053.75 | 134.4 | 2.8595 | 427 | 122 |
43 | 79310.4 | North | 20880.72 | 3316.5 | 134.4 | 3.2015 | 474.6 | 91 |
44 | 83179.2 | West | 24739.68 | 4801.5 | 112.8 | 3.002 | 275.8 | 75 |
45 | 79794 | South | 19620.72 | 3341.25 | 127.2 | 3.135 | 460.6 | 93 |
46 | 70122 | East | 27651.12 | 12870 | 343.2 | 3.135 | 420 | 109 |
47 | 189390.24 | East | 40993.68 | 8538.75 | 266.4 | 3.42 | 1029 | 8 |
48 | 75683.4 | East | 9641.52 | 7969.5 | 266.4 | 2.964 | 322 | 146 |
49 | 84630 | North | 12393.36 | 5791.5 | 175.2 | 3.1825 | 581 | 68 |
50 | 81366.48 | East | 30782.64 | 6311.25 | 189.6 | 3.135 | 492.8 | 73 |
51 | 71327.88 | South | 14904.96 | 4182.75 | 492 | 2.945 | 483 | 118 |
52 | 68719.56 | East | 26757.36 | 2351.25 | 60 | 3.135 | 392 | 151 |
53 | 87048 | West | 12951.12 | 7474.5 | 103.2 | 3.2585 | 455 | 63 |
54 | 119258.88 | East | 25038.72 | 4405.5 | 132 | 3.173 | 420 | 18 |
55 | 152334 | West | 23572.08 | 8662.5 | 254.4 | 3.3915 | 658 | 14 |
56 | 81970.2 | South | 22622.88 | 5049 | 153.6 | 3.135 | 484.4 | 82 |
57 | 100347 | West | 33129.6 | 5197.5 | 228 | 3.04 | 666.4 | 42 |
58 | 71331 | South | 24556.56 | 11484 | 235.2 | 2.85 | 406 | 169 |
59 | 76892.4 | East | 32069.52 | 6212.25 | 132 | 3.1065 | 364 | 128 |
60 | 76167 | West | 13923.84 | 1955.25 | 45.6 | 3.23 | 243.6 | 144 |
61 | 96236.4 | East | 21008.4 | 5989.5 | 93.6 | 3.2205 | 550.2 | 61 |
62 | 62868 | South | 13399.68 | 4356 | 100.8 | 2.9925 | 225.4 | 173 |
63 | 75683.4 | West | 30386.16 | 9281.25 | 211.2 | 3.04 | 291.2 | 116 |
64 | 71936.28 | West | 27006 | 6088.5 | 264 | 3.04 | 455 | 124 |
65 | 62868 | East | 32266.08 | 5742 | 206.4 | 3.135 | 392 | 163 |
66 | 71814.6 | East | 26545.68 | 4083.75 | 177.6 | 3.1445 | 350 | 112 |
67 | 78101.4 | West | 26428.08 | 5791.5 | 172.8 | 3.0685 | 336 | 89 |
68 | 71669.52 | South | 27760.32 | 5568.75 | 160.8 | 2.945 | 322 | 156 |
69 | 102281.4 | West | 29111.04 | 8439.75 | 218.4 | 3.04 | 385 | 48 |
70 | 71331 | East | 22263.36 | 9949.5 | 271.2 | 2.9165 | 338.8 | 115 |
71 | 79552.2 | North | 27773.76 | 9231.75 | 288 | 3.1065 | 436.8 | 83 |
72 | 83904.6 | East | 31563.84 | 11236.5 | 391.2 | 3.002 | 442.4 | 88 |
73 | 79310.4 | East | 30366 | 3291.75 | 252 | 3.1255 | 536.2 | 85 |
74 | 72903.48 | South | 14831.04 | 4108.5 | 108 | 3.04 | 344.4 | 141 |
75 | 91884 | East | 25861.92 | 6459.75 | 271.2 | 3.1825 | 455 | 58 |
76 | 60450 | East | 28654.08 | 7078.5 | 172.8 | 2.66 | 434 | 175 |
77 | 71814.6 | South | 27857.76 | 6657.75 | 182.4 | 2.85 | 375.2 | 152 |
78 | 124503.6 | East | 26735.52 | 3093.75 | 127.2 | 3.2965 | 415.8 | 17 |
79 | 84630 | North | 26869.92 | 4331.25 | 110.4 | 3.135 | 301 | 70 |
80 | 94302 | West | 23788.8 | 3687.75 | 105.6 | 3.325 | 407.4 | 54 |
81 | 94302 | South | 34596.24 | 6336 | 108 | 3.021 | 616 | 43 |
82 | 156879.84 | East | 35903.28 | 13538.25 | 494.4 | 3.135 | 574 | 23 |
83 | 82212 | West | 16680.72 | 4009.5 | 148.8 | 3.23 | 425.6 | 98 |
84 | 77600.64 | East | 19709.76 | 4950 | 153.6 | 3.135 | 268.8 | 90 |
85 | 73942.44 | West | 15624 | 1881 | 96 | 3.249 | 323.4 | 140 |
86 | 81970.2 | South | 19163.76 | 3514.5 | 103.2 | 3.04 | 330.4 | 94 |
87 | 84026.28 | South | 20129.76 | 3737.25 | 93.6 | 2.85 | 308 | 86 |
88 | 83904.6 | East | 30989.28 | 11063.25 | 396 | 2.85 | 527.8 | 87 |
89 | 69880.2 | East | 32084.64 | 5172.75 | 146.4 | 3.0685 | 231 | 111 |
90 | 120900 | North | 24151.68 | 5172.75 | 141.6 | 3.3155 | 714 | 31 |
91 | 94302 | West | 30964.08 | 5964.75 | 240 | 3.0115 | 343 | 57 |
92 | 79480.44 | East | 32924.64 | 6682.5 | 206.4 | 3.0875 | 593.6 | 35 |
93 | 85839 | South | 8574.72 | 5742 | 153.6 | 2.945 | 364 | 102 |
94 | 157170 | North | 37727.76 | 9429.75 | 256.8 | 3.4865 | 1050 | 3 |
95 | 71811.48 | North | 32343.36 | 3440.25 | 108 | 2.85 | 315 | 137 |
96 | 90916.8 | East | 20880.72 | 5494.5 | 98.4 | 3.059 | 630 | 65 |
97 | 84630 | South | 25134.48 | 6410.25 | 156 | 3.135 | 560 | 69 |
98 | 65286 | South | 18093.6 | 5692.5 | 120 | 2.5935 | 420 | 171 |
99 | 118482 | West | 17041.92 | 3069 | 146.4 | 3.3725 | 369.6 | 30 |
100 | 72540 | East | 21036.96 | 5940 | 182.4 | 3.04 | 456.4 | 119 |
101 | 71936.28 | North | 18322.08 | 1905.75 | 72 | 3.04 | 173.6 | 123 |
102 | 163215 | East | 35795.76 | 4727.25 | 148.8 | 3.3725 | 560 | 11 |
103 | 68913 | East | 23340.24 | 2945.25 | 93.6 | 3.04 | 205.8 | 172 |
104 | 80277.6 | South | 14747.04 | 1732.5 | 115.2 | 3.477 | 219.8 | 92 |
105 | 71572.8 | North | 20430.48 | 5742 | 153.6 | 2.945 | 364 | 155 |
106 | 89466 | East | 29984.64 | 5643 | 194.4 | 3.2395 | 588 | 64 |
107 | 152334 | West | 36538.32 | 4455 | 136.8 | 3.591 | 579.6 | 7 |
108 | 99863.4 | North | 24188.64 | 5568.75 | 151.2 | 3.325 | 826 | 34 |
109 | 72903.48 | South | 11497.92 | 3687.75 | 120 | 2.964 | 322 | 158 |
110 | 101556 | West | 28062.72 | 10815.75 | 232.8 | 3.078 | 399 | 38 |
111 | 74958 | North | 22379.28 | 6534 | 165.6 | 3.135 | 574 | |
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