Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 78.25 | 1.70782512765993 | 4 |
2 | 74.25 | 1.25830573921179 | 3 |
3 | 78 | 1.41421356237310 | 3 |
4 | 87.75 | 3.86221007541882 | 8 |
5 | 76.5 | 1.91485421551268 | 4 |
6 | 87.5 | 8.2663978450915 | 18 |
7 | 109 | 7.52772652709081 | 17 |
8 | 99.25 | 3.59397644214130 | 8 |
9 | 112.5 | 6.45497224367903 | 14 |
10 | 136.75 | 8.92094912738176 | 21 |
11 | 118 | 3.65148371670111 | 8 |
12 | 125.5 | 8.7368949480541 | 17 |
13 | 142 | 12.7540843131393 | 24 |
14 | 126 | 2.94392028877595 | 6 |
15 | 134 | 6.48074069840786 | 13 |
16 | 147.5 | 12.2882057274445 | 27 |
17 | 134.75 | 3.77491721763537 | 9 |
18 | 138 | 4.83045891539648 | 11 |
19 | 159.25 | 6.70198975429437 | 16 |
20 | 157.75 | 7.45542308211501 | 17 |
21 | 164.75 | 7.22841614740048 | 17 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | -2.66928402686994 |
beta | 0.0714937904429366 |
S.D. | 0.0200602797311470 |
T-STAT | 3.56394783129221 |
p-value | 0.00207151619180409 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | -7.6103288687736 |
beta | 1.9344240492632 |
S.D. | 0.397220902770957 |
T-STAT | 4.86989490172579 |
p-value | 0.000106377949001327 |
Lambda | -0.934424049263199 |