| Standard Deviation-Mean Plot | |||
| Section | Mean | Standard Deviation | Range |
| 1 | 58.25 | 8.65544144839919 | 20 |
| 2 | 46.75 | 15.8403493227475 | 34 |
| 3 | 59 | 8.60232526704263 | 21 |
| 4 | 49.25 | 15.6923548264752 | 36 |
| 5 | 49.5 | 9.74679434480896 | 21 |
| 6 | 52.75 | 5.90903263374528 | 14 |
| 7 | 58.5 | 12.7148207485071 | 29 |
| 8 | 45.25 | 15.305227865014 | 34 |
| 9 | 49.5 | 12.1243556529821 | 25 |
| 10 | 55.5 | 7.72442015083764 | 18 |
| 11 | 39.75 | 17.2119144780585 | 37 |
| 12 | 54 | 11.4891252930761 | 24 |
| 13 | 56 | 4.32049379893857 | 10 |
| 14 | 40.75 | 14.3845982448822 | 31 |
| 15 | 61.25 | 6.5 | 15 |
| 16 | 48.25 | 7.8049129826454 | 19 |
| 17 | 45.75 | 10.9048918686371 | 23 |
| 18 | 65.25 | 8.05708797684788 | 18 |
| Regression: S.E.(k) = alpha + beta * Mean(k) | |
| alpha | 29.7832267369449 |
| beta | -0.366864404556388 |
| S.D. | 0.100264736545311 |
| T-STAT | -3.65895744802158 |
| p-value | 0.00211825529961951 |
| Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
| alpha | 9.33101024475173 |
| beta | -1.78227502679297 |
| S.D. | 0.539730090944166 |
| T-STAT | -3.30215983265855 |
| p-value | 0.00449878662143262 |
| Lambda | 2.78227502679297 |
