Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 1.255 | 0.00577350269189626 | 0.01 |
2 | 1.265 | 0.00577350269189626 | 0.01 |
3 | 1.31 | 0.0141421356237310 | 0.03 |
4 | 1.325 | 0.00577350269189626 | 0.01 |
5 | 1.3025 | 0.0095742710775634 | 0.02 |
6 | 1.3075 | 0.0095742710775634 | 0.02 |
7 | 1.3575 | 0.0095742710775634 | 0.02 |
8 | 1.345 | 0.0288675134594813 | 0.05 |
9 | 1.3175 | 0.015 | 0.03 |
10 | 1.255 | 0.0129099444873581 | 0.03 |
11 | 1.2625 | 0.0095742710775634 | 0.02 |
12 | 1.2675 | 0.0095742710775634 | 0.02 |
13 | 1.27 | 0.00816496580927727 | 0.02 |
14 | 1.27 | 0.00816496580927727 | 0.02 |
15 | 1.295 | 0.0129099444873581 | 0.03 |
16 | 1.3025 | 0.015 | 0.03 |
17 | 1.2975 | 0.0095742710775634 | 0.02 |
18 | 1.3325 | 0.0125830573921179 | 0.03 |
19 | 1.335 | 0.00577350269189626 | 0.01 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | -0.0710546110941422 |
beta | 0.0631601894858757 |
S.D. | 0.0374818673101925 |
T-STAT | 1.68508652365621 |
p-value | 0.110239188241790 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | -6.04613771300976 |
beta | 5.54072278146269 |
S.D. | 3.85543022899338 |
T-STAT | 1.43712178728995 |
p-value | 0.168834282123979 |
Lambda | -4.54072278146269 |