| Standard Deviation-Mean Plot | |||
| Section | Mean | Standard Deviation | Range |
| 1 | 4 | 1.82574185835055 | 4 |
| 2 | -1.25 | 2.21735578260835 | 5 |
| 3 | -0.5 | 3.3166247903554 | 7 |
| 4 | 1 | 3.36650164612069 | 7 |
| 5 | -1.25 | 2.06155281280883 | 5 |
| 6 | 2.75 | 3.77491721763537 | 8 |
| 7 | 8.75 | 1.5 | 3 |
| 8 | 10.75 | 3.86221007541882 | 8 |
| 9 | 9.75 | 2.21735578260835 | 5 |
| 10 | 12 | 1.82574185835055 | 4 |
| 11 | 12 | 1.41421356237310 | 3 |
| 12 | 11.75 | 5.1234753829798 | 11 |
| 13 | 10.5 | 3.10912635102960 | 7 |
| 14 | 15.5 | 3.3166247903554 | 8 |
| 15 | 13.75 | 1.25830573921179 | 3 |
| 16 | 14.25 | 1.5 | 3 |
| 17 | 13 | 1.41421356237310 | 3 |
| 18 | 9.25 | 1.5 | 3 |
| Regression: S.E.(k) = alpha + beta * Mean(k) | |
| alpha | 2.73284006683976 |
| beta | -0.0314189040447672 |
| S.D. | 0.0479954903750754 |
| T-STAT | -0.654622003009754 |
| p-value | 0.522011090301607 |
| Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
| alpha | 1.21847155506834 |
| beta | -0.197308827227441 |
| S.D. | 0.161700710761730 |
| T-STAT | -1.22021001823659 |
| p-value | 0.244058422185337 |
| Lambda | 1.19730882722744 |
