| Standard Deviation-Mean Plot | |||
| Section | Mean | Standard Deviation | Range |
| 1 | 1.775 | 0.531507290636732 | 1.2 |
| 2 | 2.125 | 1.35738719604982 | 3.1 |
| 3 | 6.525 | 1.13541475535007 | 2.5 |
| 4 | 5.675 | 0.842120339777318 | 1.9 |
| 5 | 7.225 | 0.531507290636733 | 1.2 |
| 6 | 4.725 | 0.478713553878169 | 1.1 |
| 7 | 4.8 | 0.938083151964686 | 2.2 |
| 8 | 5.65 | 0.99498743710662 | 1.9 |
| 9 | 7.975 | 1.04682058316281 | 2.2 |
| 10 | 8.875 | 0.79320026895272 | 1.9 |
| 11 | 5.5 | 0.875595035770913 | 1.7 |
| 12 | 4.725 | 1.53052278650140 | 3.3 |
| 13 | 4.3 | 0.571547606649408 | 1.3 |
| 14 | 5.225 | 0.680073525436772 | 1.4 |
| 15 | 4.8 | 1.80369990112916 | 4.4 |
| 16 | 3.075 | 2.17772817403826 | 5 |
| 17 | 4.125 | 1.49749791318719 | 3.6 |
| 18 | 4.925 | 0.788986691902975 | 1.8 |
| Regression: S.E.(k) = alpha + beta * Mean(k) | |
| alpha | 1.38470985890139 |
| beta | -0.0689962940298096 |
| S.D. | 0.0630004875829804 |
| T-STAT | -1.09517079433603 |
| p-value | 0.289654281631892 |
| Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
| alpha | 0.153427759737002 |
| beta | -0.137847361603651 |
| S.D. | 0.266314208619147 |
| T-STAT | -0.517611742604333 |
| p-value | 0.611811601641243 |
| Lambda | 1.13784736160365 |
