Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 118.25 | 1.70782512765993 | 4 |
2 | 114.25 | 1.25830573921179 | 3 |
3 | 118 | 1.4142135623731 | 3 |
4 | 121 | 3.91578004149024 | 9 |
5 | 111 | 2.16024689946929 | 5 |
6 | 123 | 3.46410161513775 | 8 |
7 | 115.75 | 6.13052471924984 | 14 |
8 | 104 | 2.44948974278318 | 6 |
9 | 128.25 | 5.1234753829798 | 11 |
10 | 122.75 | 4.19324854180304 | 10 |
11 | 119.25 | 5.5 | 12 |
12 | 149.5 | 4.43471156521669 | 10 |
13 | 135.5 | 7.72442015083764 | 18 |
14 | 122.75 | 2.75378527364305 | 6 |
15 | 140.75 | 1.5 | 3 |
16 | 120.5 | 8.10349718742881 | 19 |
17 | 102.75 | 4.11298755975102 | 10 |
18 | 126.75 | 1.5 | 3 |
19 | 105.25 | 5.37742193496723 | 13 |
20 | 94.5 | 4.65474668125631 | 9 |
21 | 118.75 | 3.30403793359983 | 8 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 2.90784325883232 |
beta | 0.00784800446701681 |
S.D. | 0.0362087975286237 |
T-STAT | 0.21674302939259 |
p-value | 0.830718879965459 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | 1.65193965634226 |
beta | -0.094067613959715 |
S.D. | 1.23867155187979 |
T-STAT | -0.0759423382388652 |
p-value | 0.940258922003047 |
Lambda | 1.09406761395971 |