Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 2.3525 | 0.168794747153656 | 0.38 |
2 | 2.1375 | 0.133010024684858 | 0.26 |
3 | 2.2775 | 0.0713559154286921 | 0.17 |
4 | 2.2475 | 0.0478713553878169 | 0.1 |
5 | 2.21 | 0.0883176086632785 | 0.21 |
6 | 2.0625 | 0.0629152869605896 | 0.14 |
7 | 2.525 | 0.225757982509294 | 0.49 |
8 | 2.9925 | 0.231138486626525 | 0.46 |
9 | 3.3325 | 0.0830160627027484 | 0.200000000000000 |
10 | 3.7 | 0.10295630140987 | 0.25 |
11 | 4 | 0.117473401244708 | 0.270000000000000 |
12 | 4.3075 | 0.116440256498057 | 0.260000000000001 |
13 | 4.095 | 0.0793725393319378 | 0.18 |
14 | 3.825 | 0.157162336455017 | 0.37 |
15 | 4.44 | 0.112249721603218 | 0.270000000000000 |
16 | 2.8775 | 0.701349888904722 | 1.67 |
17 | 1.355 | 0.113578166916005 | 0.24 |
18 | 0.865 | 0.187349939951952 | 0.42 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 0.171546304794913 |
beta | -0.00557576597791742 |
S.D. | 0.0352500424854487 |
T-STAT | -0.158177567593546 |
p-value | 0.876296041203469 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | -2.03031711422846 |
beta | -0.0514557240627455 |
S.D. | 0.356004404297386 |
T-STAT | -0.144536762583876 |
p-value | 0.88688158992004 |
Lambda | 1.05145572406275 |