Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 34.5 | 9.67815409397198 | 20 |
2 | 23.5 | 8.34665601703261 | 17 |
3 | 25 | 1.82574185835055 | 4 |
4 | 38.25 | 9.21502396451939 | 20 |
5 | 34.5 | 7.68114574786861 | 16 |
6 | 32.25 | 11.8145390656315 | 26 |
7 | 48.25 | 3.77491721763537 | 9 |
8 | 47.5 | 2.88675134594813 | 7 |
9 | 39.25 | 6.13052471924984 | 14 |
10 | 27.25 | 12.8419884233972 | 29 |
11 | 24 | 4.89897948556636 | 12 |
12 | 23.25 | 3.77491721763537 | 9 |
13 | 19.25 | 5.37742193496723 | 12 |
14 | 21 | 6.32455532033676 | 14 |
15 | 18 | 7.11805216802087 | 16 |
16 | 26.75 | 5.1234753829798 | 12 |
17 | 29.25 | 8.61684396980704 | 18 |
18 | 21.75 | 7.71902411793961 | 17 |
19 | 27 | 5.71547606649408 | 13 |
20 | 32.25 | 5.56027577253743 | 11 |
21 | 27 | 2.16024689946929 | 5 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 7.08331441490287 |
beta | -0.0196287082268678 |
S.D. | 0.0796084087758674 |
T-STAT | -0.246565765208688 |
p-value | 0.807888614318818 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | 2.04503595615056 |
beta | -0.0853574309764783 |
S.D. | 0.432235679296362 |
T-STAT | -0.197478910383872 |
p-value | 0.845550105236564 |
Lambda | 1.08535743097648 |