| Standard Deviation-Mean Plot | |||
| Section | Mean | Standard Deviation | Range |
| 1 | 5 | 1.4142135623731 | 3 |
| 2 | 2.5 | 0.577350269189626 | 1 |
| 3 | 3.25 | 2.21735578260835 | 5 |
| 4 | 5.5 | 0.577350269189626 | 1 |
| 5 | 4.5 | 1 | 2 |
| 6 | 4.75 | 1.5 | 3 |
| 7 | 5 | 0.816496580927726 | 2 |
| 8 | 3.5 | 1.29099444873581 | 3 |
| 9 | 1 | 1.82574185835055 | 4 |
| 10 | -1.25 | 1.5 | 3 |
| 11 | -3.5 | 1.91485421551268 | 4 |
| 12 | -3.5 | 2.38047614284762 | 5 |
| 13 | -2 | 1.4142135623731 | 3 |
| 14 | 0.25 | 1.5 | 3 |
| 15 | 2 | 1.15470053837925 | 2 |
| 16 | 1.25 | 0.957427107756338 | 2 |
| 17 | 0.25 | 0.957427107756338 | 2 |
| 18 | 1.5 | 1.29099444873581 | 3 |
| Regression: S.E.(k) = alpha + beta * Mean(k) | |
| alpha | 1.50548610043657 |
| beta | -0.0936384637707438 |
| S.D. | 0.03736413171759 |
| T-STAT | -2.50610570796863 |
| p-value | 0.0233851052610155 |
| Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
| alpha | 0.175710212245182 |
| beta | -0.0645396017213361 |
| S.D. | 0.107183094000587 |
| T-STAT | -0.602143484689692 |
| p-value | 0.558284933125048 |
| Lambda | 1.06453960172134 |
