Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 9402 | 369.34626932821 | 662 |
2 | 9469.75 | 615.153842546724 | 1411 |
3 | 9661.25 | 376.667293509803 | 786 |
4 | 9348 | 323.952671440341 | 702 |
5 | 9139.25 | 403.511565303070 | 927 |
6 | 9430.5 | 476.178187936687 | 1118 |
7 | 9256.5 | 447.117061480175 | 965 |
8 | 9081.25 | 386.892211518057 | 923 |
9 | 9634.25 | 389.218340609312 | 892 |
10 | 9351.75 | 421.869944414152 | 948 |
11 | 9241.5 | 297.687196007263 | 653 |
12 | 10017 | 238.695063487566 | 524 |
13 | 9649.5 | 268.500155183071 | 651 |
14 | 9677.5 | 471.217218134765 | 1141 |
15 | 10098.25 | 235.011169947303 | 540 |
16 | 9823.75 | 395.32802835114 | 846 |
17 | 9903 | 628.399554423776 | 1296 |
18 | 10424.75 | 209.087501619139 | 444 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 1433.82623429448 |
beta | -0.109235074739753 |
S.D. | 0.0768964203251652 |
T-STAT | -1.42054824239984 |
p-value | 0.174642453353369 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | 39.9658049526392 |
beta | -3.71445522546439 |
S.D. | 1.86518172850042 |
T-STAT | -1.99147094822271 |
p-value | 0.0637846472968747 |
Lambda | 4.71445522546439 |