Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 77.4 | 1.29099444873581 | 3 |
2 | 81.4 | 1.29099444873581 | 3 |
3 | 85.4 | 1.29099444873581 | 3 |
4 | 89.4 | 1.29099444873581 | 3 |
5 | 93.4 | 1.29099444873581 | 3 |
6 | 97.4 | 1.29099444873581 | 3 |
7 | 101.4 | 1.29099444873581 | 3 |
8 | 105.4 | 1.29099444873581 | 3 |
9 | 109.4 | 1.29099444873581 | 3 |
10 | 113.4 | 1.29099444873581 | 3 |
11 | 117.4 | 1.29099444873581 | 3 |
12 | 121.4 | 1.29099444873581 | 3 |
13 | 125.4 | 1.29099444873581 | 3 |
14 | 129.4 | 1.29099444873581 | 3 |
15 | 133.4 | 1.29099444873581 | 3 |
16 | 137.4 | 1.29099444873581 | 3 |
17 | 141.4 | 1.29099444873581 | 3 |
18 | 145.4 | 1.29099444873581 | 3 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 1.29099444873581 |
beta | -1.23954667790824e-17 |
S.D. | 7.15652608163432e-18 |
T-STAT | -1.73205080756887 |
p-value | 0.102494766923602 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | 0.255412811882995 |
beta | 0 |
S.D. | 0 |
T-STAT | NaN |
p-value | NaN |
Lambda | 1 |