Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 406.25 | 1.70782512765993 | 4 |
2 | 402.25 | 1.25830573921179 | 3 |
3 | 406 | 1.4142135623731 | 3 |
4 | 402.75 | 2.21735578260835 | 5 |
5 | 401 | 7.39369100427294 | 18 |
6 | 394.5 | 3.3166247903554 | 7 |
7 | 394.5 | 4.04145188432738 | 9 |
8 | 384.5 | 9.46924847422786 | 23 |
9 | 365.75 | 2.06155281280883 | 4 |
10 | 357.5 | 8.81286937760152 | 20 |
11 | 340 | 13.735598518691 | 31 |
12 | 318.5 | 5.06622805119022 | 11 |
13 | 309.75 | 13.6961065027012 | 30 |
14 | 281.75 | 19.4315036302735 | 42 |
15 | 250.25 | 4.03112887414927 | 9 |
16 | 232.25 | 16.7207455974108 | 39 |
17 | 210.75 | 12.9711217710728 | 27 |
18 | 185.25 | 4.5 | 11 |
19 | 169.5 | 18.1567251085284 | 41 |
20 | 139.75 | 14.4308696896618 | 30 |
21 | 114 | 4.16333199893227 | 10 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 17.2993335177467 |
beta | -0.0301062366064285 |
S.D. | 0.0123123428790058 |
T-STAT | -2.44520778070302 |
p-value | 0.0243922826927097 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | 7.51063777360579 |
beta | -1.01647685803229 |
S.D. | 0.472032070287234 |
T-STAT | -2.15340635100017 |
p-value | 0.0443416496189166 |
Lambda | 2.01647685803229 |