Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 117.1 | 2.96085573216033 | 6.7 |
2 | 106.225 | 4.79261584801731 | 10.4 |
3 | 98.175 | 2.33719917850405 | 5.7 |
4 | 97.075 | 1.60286202358989 | 3.10000000000001 |
5 | 99.625 | 4.91350180624776 | 9.89999999999999 |
6 | 103.425 | 0.94295634398771 | 2.2 |
7 | 101.15 | 5.1526692111953 | 12.3 |
8 | 104.95 | 2.75741424768448 | 5.30000000000001 |
9 | 108.2 | 1.57056253191863 | 3.39999999999999 |
10 | 109.775 | 1.38894444333338 | 3.2 |
11 | 110.4 | 4.70814896394184 | 10.9 |
12 | 117.825 | 2.74271763038049 | 5.8 |
13 | 115.35 | 3.5939764421413 | 8 |
14 | 104.325 | 2.73175767592955 | 5.80000000000001 |
15 | 101.95 | 1.7464249196573 | 3.59999999999999 |
16 | 106.075 | 2.13287755547914 | 4.90000000000001 |
17 | 91.225 | 2.18536800867345 | 5 |
18 | 92.975 | 1.15289490703475 | 2.7 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | -1.22993552029765 |
beta | 0.0379423259503053 |
S.D. | 0.0437466423947709 |
T-STAT | 0.867319727258442 |
p-value | 0.398588252329449 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | -8.08089647335336 |
beta | 1.92955497644982 |
S.D. | 1.69530295450973 |
T-STAT | 1.13817708588129 |
p-value | 0.271803143705655 |
Lambda | -0.929554976449823 |