Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 8.315 | 0.0772442015083766 | 0.16 |
2 | 8.465 | 0.00999999999999979 | 0.0199999999999996 |
3 | 8.3775 | 0.0556027577253739 | 0.129999999999999 |
4 | 8.495 | 0.0704745817062193 | 0.149999999999999 |
5 | 8.5175 | 0.0758836829188812 | 0.18 |
6 | 8.2025 | 0.122031416719904 | 0.280000000000001 |
7 | 7.8525 | 0.0262995563967657 | 0.0599999999999996 |
8 | 8.02 | 0.102306728354819 | 0.23 |
9 | 8.0475 | 0.0684957419601149 | 0.159999999999999 |
10 | 8.1 | 0.116045967903528 | 0.260000000000001 |
11 | 8.1825 | 0.017078251276599 | 0.0399999999999991 |
12 | 8.135 | 0.0838649708360608 | 0.18 |
13 | 8.12 | 0.0559761854124894 | 0.130000000000001 |
14 | 8.2625 | 0.00957427107756318 | 0.0199999999999996 |
15 | 8.19 | 0.0883176086632783 | 0.19 |
16 | 8.325 | 0.119023807142381 | 0.27 |
17 | 8.4525 | 0.0478713553878167 | 0.109999999999999 |
18 | 8.4875 | 0.0877021474461528 | 0.200000000000001 |
19 | 8.4125 | 0.0797391580927043 | 0.19 |
20 | 8.4275 | 0.0359397644214128 | 0.0800000000000001 |
21 | 8.3375 | 0.117862914721581 | 0.27 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 0.150920633407298 |
beta | -0.0097970829292343 |
S.D. | 0.0447510936480303 |
T-STAT | -0.218923877174687 |
p-value | 0.829043856777197 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | -0.815865942191441 |
beta | -0.971689834045725 |
S.D. | 7.94123177483068 |
T-STAT | -0.122360089920237 |
p-value | 0.903898802822294 |
Lambda | 1.97168983404572 |