Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 85.925 | 6.85583692921587 | 14.9 |
2 | 92.575 | 6.6294167667048 | 13.7 |
3 | 115.225 | 48.434311185357 | 103.9 |
4 | 86.45 | 0.932737905308878 | 2.19999999999999 |
5 | 91.225 | 8.46852013833192 | 18.5 |
6 | 114.325 | 46.329787034549 | 101.7 |
7 | 84.725 | 3.34502117581737 | 7.39999999999999 |
8 | 94.625 | 7.85127378200505 | 18.9 |
9 | 120.225 | 51.2992121446974 | 109.7 |
10 | 88.45 | 3.79956137819442 | 8.8 |
11 | 97.225 | 12.7993163879951 | 28.2 |
12 | 124.725 | 53.562696907456 | 112.8 |
13 | 92.925 | 3.51887766198258 | 7.6 |
14 | 106.525 | 9.99245548734978 | 21.5 |
15 | 126.6 | 41.1561255060127 | 85.2 |
16 | 100.8 | 8.6821656284593 | 18.6 |
17 | 121.25 | 11.2013392056486 | 25.9 |
18 | 137.45 | 41.3942427558874 | 86.7 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | -83.5370964962276 |
beta | 0.993977746133193 |
S.D. | 0.166531410090808 |
T-STAT | 5.96871032072079 |
p-value | 1.96518142289113e-05 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | -27.5048803573395 |
beta | 6.46065625363279 |
S.D. | 0.967990491322534 |
T-STAT | 6.67429722869054 |
p-value | 5.34178198996097e-06 |
Lambda | -5.46065625363279 |