| Standard Deviation-Mean Plot | |||
| Section | Mean | Standard Deviation | Range |
| 1 | 21.25 | 0.957427107756338 | 2 |
| 2 | 20.75 | 0.5 | 1 |
| 3 | 20.75 | 1.25830573921179 | 3 |
| 4 | 21.75 | 2.06155281280883 | 5 |
| 5 | 22.75 | 0.957427107756338 | 2 |
| 6 | 21.75 | 1.70782512765993 | 4 |
| 7 | 22 | 1.41421356237310 | 3 |
| 8 | 20.5 | 0.577350269189626 | 1 |
| 9 | 18.25 | 0.957427107756338 | 2 |
| 10 | 20.5 | 0.577350269189626 | 1 |
| 11 | 19.75 | 1.70782512765993 | 4 |
| 12 | 17.5 | 1.29099444873581 | 3 |
| 13 | 19.25 | 1.5 | 3 |
| 14 | 19.5 | 1 | 2 |
| 15 | 17.75 | 1.5 | 3 |
| 16 | 16 | 0.816496580927726 | 2 |
| 17 | 16.5 | 1 | 2 |
| 18 | 16.75 | 1.5 | 3 |
| Regression: S.E.(k) = alpha + beta * Mean(k) | |
| alpha | 0.867703540221127 |
| beta | 0.0160383058373534 |
| S.D. | 0.0528058836971564 |
| T-STAT | 0.30372194752641 |
| p-value | 0.765253769823581 |
| Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
| alpha | 0.0872019298178343 |
| beta | 0.00275598969111777 |
| S.D. | 0.939989941783708 |
| T-STAT | 0.00293193529910337 |
| p-value | 0.997696902474433 |
| Lambda | 0.997244010308882 |
