| Standard Deviation-Mean Plot | |||
| Section | Mean | Standard Deviation | Range |
| 1 | 292.285 | 5.3244999765236 | 9.40999999999997 |
| 2 | 276.9125 | 6.00184624372646 | 14.4700000000000 |
| 3 | 287.185 | 5.2805334326499 | 11.25 |
| 4 | 309.3175 | 7.59634725816735 | 15.2200000000000 |
| 5 | 324.105 | 7.55243227929476 | 14.5200000000000 |
| 6 | 339.0775 | 1.64668100533569 | 3.56999999999999 |
| 7 | 319.82 | 22.6402488207764 | 47.89 |
| 8 | 312.535 | 7.83621719964423 | 16.7300000000000 |
| 9 | 315.4675 | 2.84706135046882 | 6.80000000000001 |
| 10 | 305.875 | 11.2525982184857 | 23.69 |
| 11 | 307.185 | 5.56307169346816 | 13.37 |
| 12 | 328.3 | 10.1175095749893 | 23.4200000000000 |
| 13 | 325.14 | 5.18477900525504 | 11.93 |
| 14 | 345.5525 | 10.1019053483324 | 24.71 |
| 15 | 310.0625 | 7.89604278526065 | 18.05 |
| Regression: S.E.(k) = alpha + beta * Mean(k) | |
| alpha | -3.59830844805323 |
| beta | 0.0363530420218644 |
| S.D. | 0.0723321989224206 |
| T-STAT | 0.502584499896853 |
| p-value | 0.623662176193751 |
| Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
| alpha | 1.91511151320340 |
| beta | -0.00405379362174322 |
| S.D. | 2.80306229121872 |
| T-STAT | -0.00144620176099644 |
| p-value | 0.998868055466292 |
| Lambda | 1.00405379362174 |
