| Standard Deviation-Mean Plot | |||
| Section | Mean | Standard Deviation | Range |
| 1 | 84.9125 | 0.47932006767162 | 1.67999999999999 |
| 2 | 86.3766666666667 | 0.397316757840147 | 1.25 |
| 3 | 87.4933333333333 | 0.323962212536454 | 1 |
| 4 | 88.5283333333333 | 0.46303020387116 | 1.64999999999999 |
| 5 | 90.2133333333333 | 0.650291310013281 | 2.16000000000000 |
| 6 | 92.1875 | 0.715860893038457 | 2.23000000000000 |
| 7 | 94.1075 | 0.595210046958212 | 2.02000000000000 |
| 8 | 95.9483333333333 | 0.528253267998898 | 1.91000000000000 |
| 9 | 97.8808333333333 | 0.732982181766977 | 2.41000000000000 |
| 10 | 100 | 0.839317904881425 | 2.61 |
| 11 | 102.204166666667 | 0.79521818999377 | 2.56999999999999 |
| 12 | 104.591666666667 | 1.09198595839568 | 3.73000000000000 |
| 13 | 108.420833333333 | 1.04933276057895 | 3.12000000000000 |
| Regression: S.E.(k) = alpha + beta * Mean(k) | |
| alpha | -2.07236670249749 |
| beta | 0.028878140662613 |
| S.D. | 0.00401936220995791 |
| T-STAT | 7.1847569724042 |
| p-value | 1.78713101715724e-05 |
| Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
| alpha | -19.3376663336536 |
| beta | 4.14825385555548 |
| S.D. | 0.663220411979307 |
| T-STAT | 6.25471378840027 |
| p-value | 6.21904940187061e-05 |
| Lambda | -3.14825385555548 |
