| Standard Deviation-Mean Plot | |||
| Section | Mean | Standard Deviation | Range |
| 1 | 63.5 | 50.4678115237822 | 117 |
| 2 | 60.5 | 16.2788205960997 | 38 |
| 3 | 88.25 | 33.3204141630923 | 74 |
| 4 | 63.25 | 30.6090945090943 | 71 |
| 5 | 73.5 | 13.3291660154215 | 30 |
| 6 | 73.25 | 20.8386659841747 | 48 |
| 7 | 54.5 | 18.4842275106824 | 44 |
| 8 | 58.75 | 11.8988794990677 | 27 |
| 9 | 84.5 | 21.0792156716832 | 42 |
| 10 | 85 | 11.7473401244707 | 27 |
| 11 | 93 | 21.2446071588376 | 45 |
| 12 | 39.5 | 16.8424067955464 | 40 |
| 13 | 39.25 | 9.10585891976516 | 22 |
| 14 | 20.75 | 6.18465843842649 | 15 |
| 15 | 16.75 | 5.67890834580027 | 12 |
| 16 | 14.75 | 3.86221007541882 | 8 |
| 17 | 13.5 | 8.2663978450915 | 18 |
| 18 | 7.5 | 3.3166247903554 | 7 |
| Regression: S.E.(k) = alpha + beta * Mean(k) | |
| alpha | 3.41545458306883 |
| beta | 0.253765395233233 |
| S.D. | 0.0835855957107396 |
| T-STAT | 3.03599433700785 |
| p-value | 0.00786565540752056 |
| Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
| alpha | -0.416082336256733 |
| beta | 0.80001505087942 |
| S.D. | 0.131998578907583 |
| T-STAT | 6.06078533193559 |
| p-value | 1.6516055456285e-05 |
| Lambda | 0.199984949120579 |
