Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 1.1 | 0.216024689946929 | 0.5 |
2 | 1.225 | 0.0957427107756338 | 0.2 |
3 | 1.425 | 0.359397644214130 | 0.8 |
4 | 1.55 | 0.129099444873581 | 0.3 |
5 | 1.575 | 0.206155281280883 | 0.4 |
6 | 1.575 | 0.623832242407097 | 1.4 |
7 | 1.975 | 0.125830573921179 | 0.3 |
8 | 2.225 | 0.359397644214131 | 0.8 |
9 | 2.45 | 0.238047614284762 | 0.5 |
10 | 2.825 | 0.15 | 0.3 |
11 | 2.525 | 0.320156211871642 | 0.6 |
12 | 2.6 | 0.282842712474619 | 0.6 |
13 | 2.275 | 0.262995563967658 | 0.6 |
14 | 1.875 | 0.206155281280883 | 0.4 |
15 | 1.675 | 0.25 | 0.5 |
16 | 1.3 | 0.0816496580927726 | 0.2 |
17 | 2.925 | 0.543905629069357 | 1.3 |
18 | 4.3 | 0.627162924074226 | 1.5 |
19 | 5.65 | 0.238047614284762 | 0.5 |
20 | 3.2 | 1.15758369027902 | 2.7 |
21 | 0.75 | 0.866025403784439 | 2.1 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 0.259298487501765 |
beta | 0.0403145595225670 |
S.D. | 0.0543266435936112 |
T-STAT | 0.742077125620695 |
p-value | 0.467115847823731 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | -1.50184330723471 |
beta | 0.299633445234272 |
S.D. | 0.334421797827527 |
T-STAT | 0.895974625998522 |
p-value | 0.381477975629903 |
Lambda | 0.700366554765728 |