| Standard Deviation-Mean Plot | |||
| Section | Mean | Standard Deviation | Range |
| 1 | 126.08 | 1.04973806256608 | 2.47 |
| 2 | 119.61 | 2.98404088443842 | 7.43 |
| 3 | 117.452 | 2.13299554617444 | 5.13 |
| 4 | 116.74 | 2.01462155255025 | 4.91999999999999 |
| 5 | 114.672 | 0.475520767159542 | 1 |
| 6 | 117.252 | 1.51742215615827 | 3.75 |
| 7 | 117.388 | 1.04082659458720 | 2.78999999999999 |
| 8 | 122.24 | 2.56471245951666 | 6.70999999999999 |
| 9 | 123.754 | 0.943837909812908 | 2.1900 |
| 10 | 124.406 | 1.17385263129577 | 2.92 |
| 11 | 128.45 | 0.98374285257886 | 2.63999999999999 |
| 12 | 131.908 | 1.45308981140189 | 3.75999999999999 |
| 13 | 130.67 | 2.01664325055275 | 5.54999999999998 |
| 14 | 133.664 | 1.45959926007107 | 3.65000000000001 |
| 15 | 130.248 | 1.7310603686758 | 4.77 |
| 16 | 127.414 | 0.799799974993755 | 1.48000000000002 |
| 17 | 129.612 | 2.94740054963692 | 7.51 |
| 18 | 132.594 | 0.83293457125996 | 2.19000000000003 |
| 19 | 129.834 | 1.01682348517332 | 2.24000000000001 |
| 20 | 131.718 | 0.958081416164617 | 2.38000000000000 |
| 21 | 134.612 | 1.34449618816864 | 3.61000000000001 |
| 22 | 136.692 | 0.481736442466205 | 1.16000000000000 |
| 23 | 136.766 | 1.32443572890495 | 3.25 |
| 24 | 133.64 | 0.703811054189971 | 1.81999999999999 |
| 25 | 134.43 | 0.666145629723705 | 1.73999999999998 |
| 26 | 134.57 | 1.67831760998924 | 4.09 |
| 27 | 129.73 | 1.11119305253408 | 2.81 |
| 28 | 132.96 | 1.25906711497044 | 2.87000000000000 |
| 29 | 134.356 | 1.16390721279662 | 3.12000000000000 |
| 30 | 135.032 | 1.10266495364640 | 2.35999999999999 |
| 31 | 137.262 | 0.501966134315851 | 1.28999999999999 |
| 32 | 135.192 | 1.7427765203835 | 4.58000000000001 |
| 33 | 134.294 | 1.14955643619615 | 3.01999999999998 |
| 34 | 133.808 | 0.705386418922282 | 1.65000000000001 |
| 35 | 132.69 | 0.776788259437541 | 1.94000000000000 |
| 36 | 133.246 | 0.79415363752865 | 1.82999999999998 |
| 37 | 134.34 | 1.10397010829099 | 2.86000000000001 |
| 38 | 132.692 | 1.73554602359027 | 4.05000000000001 |
| 39 | 130.884 | 0.570245561140115 | 1.46000000000001 |
| 40 | 131.654 | 1.25601751580143 | 2.56 |
| 41 | 134.85 | 1.05130870822989 | 2.27000000000001 |
| 42 | 137.138 | 0.927938575553364 | 2.27000000000001 |
| 43 | 133.95 | 1.26911386407997 | 2.88000000000000 |
| 44 | 134.536 | 0.243577503066266 | 0.509999999999991 |
| 45 | 133.944 | 0.87990340378931 | 2.35000000000002 |
| 46 | 132.582 | 0.641030420494995 | 1.51999999999998 |
| 47 | 130.558 | 1.12655226243615 | 2.90000000000001 |
| 48 | 132.356 | 1.14338532437669 | 2.5 |
| 49 | 130.168 | 0.590694506492142 | 1.57999999999998 |
| 50 | 130.098 | 0.64387110511344 | 1.56000000000000 |
| 51 | 131.866 | 0.596095629911849 | 1.49000000000001 |
| 52 | 133.102 | 0.478455849582805 | 1.08000000000001 |
| 53 | 133.18 | 0.678859337418288 | 1.81999999999999 |
| 54 | 129.734 | 0.857163928312432 | 2.10999999999999 |
| 55 | 126.742 | 0.762476229137666 | 1.78999999999999 |
| 56 | 126.072 | 0.456037279177922 | 1.13000000000001 |
| 57 | 122.8 | 0.521056618804527 | 1.33000000000001 |
| 58 | 123.084 | 0.97448961000105 | 2.36 |
| 59 | 122.912 | 1.53719549830202 | 3.72 |
| 60 | 120.846 | 0.179387847971925 | 0.429999999999993 |
| 61 | 122.736 | 1.06793258214178 | 2.36 |
| 62 | 124.17 | 0.488006147502263 | 1.23999999999999 |
| 63 | 122.466 | 0.821571664555199 | 2.1900 |
| 64 | 125.152 | 0.934114554002882 | 2.28 |
| 65 | 125.434 | 1.19944987390053 | 3.22999999999999 |
| 66 | 125.748 | 1.46516893223956 | 3.92 |
| 67 | 124.914 | 0.581489466800557 | 1.42999999999999 |
| 68 | 124.94 | 0.514441444675679 | 1.33000000000000 |
| 69 | 120.894 | 2.37261037677913 | 5.81999999999999 |
| 70 | 116.43 | 1.56164976867414 | 3.89 |
| 71 | 112.69 | 1.50251455899768 | 3.69 |
| 72 | 111.47 | 1.42223415793603 | 3.53 |
| 73 | 111.668 | 1.50674151731476 | 3.88000000000000 |
| 74 | 110.542 | 1.24509838968654 | 3.11000000000001 |
| 75 | 112.406 | 0.562965363055311 | 1.33000000000000 |
| 76 | 110.336 | 0.598314298675873 | 1.5 |
| 77 | 109.01 | 0.851263766408508 | 1.79000000000001 |
| 78 | 110.942 | 0.926482595627136 | 2.28999999999999 |
| 79 | 112.386 | 0.840672349967571 | 2.16000000000000 |
| 80 | 111.876 | 0.478257252950756 | 0.980000000000004 |
| 81 | 113.466 | 0.54436201190017 | 1.39 |
| 82 | 113.342 | 0.303018151271503 | 0.739999999999995 |
| 83 | 110.512 | 1.58068655969487 | 3.74000000000001 |
| 84 | 109.236 | 0.790398633602055 | 1.70000000000000 |
| 85 | 107.022 | 0.666235694030275 | 1.55000000000000 |
| 86 | 107.844 | 0.572651726619244 | 1.35000000000001 |
| 87 | 106.852 | 0.512708494175785 | 1.28 |
| 88 | 110.812 | 2.14922544187435 | 5.02999999999999 |
| 89 | 112.88 | 0.595944628300316 | 1.47 |
| 90 | 113.822 | 0.403881170643050 | 1.04000000000001 |
| 91 | 114.666 | 0.416629331660652 | 0.89 |
| 92 | 113.858 | 0.639898429440176 | 1.43000000000001 |
| 93 | 113.158 | 0.376789065658759 | 1.06000000000000 |
| 94 | 112.454 | 0.537429065086732 | 1.23999999999999 |
| 95 | 113.858 | 0.925402615081675 | 2.27000000000001 |
| 96 | 112.92 | 0.454037443389861 | 1.04000000000001 |
| 97 | 113.498 | 0.652203955829771 | 1.59000000000000 |
| 98 | 111.356 | 0.688570983995113 | 1.77000000000000 |
| Regression: S.E.(k) = alpha + beta * Mean(k) | |
| alpha | 0.39503392231562 |
| beta | 0.00509479226336126 |
| S.D. | 0.00615492106038591 |
| T-STAT | 0.827759156190024 |
| p-value | 0.409859921355814 |
| Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
| alpha | -4.98853624860361 |
| beta | 1.01199045231827 |
| S.D. | 0.711076172882997 |
| T-STAT | 1.42318149715978 |
| p-value | 0.157925288958149 |
| Lambda | -0.0119904523182686 |
