Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 91.25 | 1.70782512765993 | 4 |
2 | 87.25 | 1.25830573921179 | 3 |
3 | 91 | 1.41421356237310 | 3 |
4 | 90.25 | 2.75378527364305 | 6 |
5 | 92.25 | 4.5 | 11 |
6 | 98.25 | 4.5 | 10 |
7 | 92.75 | 6.5 | 15 |
8 | 91.5 | 9.46924847422786 | 22 |
9 | 110.75 | 9.5 | 20 |
10 | 108.5 | 5.97215762238964 | 14 |
11 | 114.75 | 9.74251849711699 | 23 |
12 | 132.25 | 9.17877987534291 | 22 |
13 | 127.25 | 10.7819293264239 | 26 |
14 | 138.25 | 3.77491721763537 | 9 |
15 | 150.25 | 7.8049129826454 | 18 |
16 | 129.75 | 13.0479883506999 | 30 |
17 | 133.75 | 4.5 | 11 |
18 | 138.25 | 14.2448821218944 | 33 |
19 | 131.25 | 10.2428837085396 | 22 |
20 | 146.75 | 0.957427107756338 | 2 |
21 | 156.25 | 17.3084757657436 | 41 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | -4.94892235533765 |
beta | 0.103195767671924 |
S.D. | 0.039010279550324 |
T-STAT | 2.64534806880325 |
p-value | 0.0159593577711054 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | -7.06901156893613 |
beta | 1.84650081435865 |
S.D. | 0.875477095570863 |
T-STAT | 2.10913663384263 |
p-value | 0.0484293263469884 |
Lambda | -0.846500814358652 |