Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 160.25 | 1.70782512765993 | 4 |
2 | 156.25 | 1.25830573921179 | 3 |
3 | 160 | 1.41421356237310 | 3 |
4 | 152 | 3.55902608401044 | 8 |
5 | 147.25 | 2.98607881119482 | 7 |
6 | 146.75 | 5.31507290636732 | 11 |
7 | 139.25 | 4.11298755975102 | 10 |
8 | 133.75 | 3.30403793359983 | 7 |
9 | 137 | 6.97614984548545 | 15 |
10 | 141.5 | 3.3166247903554 | 8 |
11 | 138.5 | 1 | 2 |
12 | 142 | 7.30296743340222 | 16 |
13 | 138.5 | 3.10912635102960 | 7 |
14 | 129.25 | 3.77491721763537 | 8 |
15 | 141.75 | 9.81070843517429 | 22 |
16 | 141 | 5.47722557505166 | 13 |
17 | 122.75 | 5.25198375219624 | 11 |
18 | 133.25 | 10.6575481858321 | 24 |
19 | 147 | 10.6770782520313 | 24 |
20 | 119.25 | 8.65544144839919 | 21 |
21 | 128.5 | 6.6583281184794 | 15 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 21.7647968620488 |
beta | -0.118661959561460 |
S.D. | 0.0569152241896707 |
T-STAT | -2.08488960995773 |
p-value | 0.0508103480988565 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | 23.6031051615039 |
beta | -4.48724296517405 |
S.D. | 1.75529531612061 |
T-STAT | -2.5564034290773 |
p-value | 0.0192950670450515 |
Lambda | 5.48724296517405 |