Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 156.25 | 1.70782512765993 | 4 |
2 | 152.25 | 1.25830573921179 | 3 |
3 | 156 | 1.41421356237310 | 3 |
4 | 148.5 | 6.75771164423776 | 15 |
5 | 142.25 | 2.21735578260835 | 5 |
6 | 141.5 | 2.08166599946613 | 5 |
7 | 129.25 | 9.14239210126832 | 19 |
8 | 125 | 2.94392028877595 | 6 |
9 | 128.25 | 0.5 | 1 |
10 | 116 | 7.61577310586391 | 15 |
11 | 107 | 2.44948974278318 | 6 |
12 | 117.75 | 3.30403793359983 | 8 |
13 | 108 | 4.96655480858378 | 11 |
14 | 106.25 | 2.62995563967658 | 6 |
15 | 108.5 | 2.38047614284762 | 5 |
16 | 109.5 | 10.0829889748361 | 23 |
17 | 123.75 | 3.09569593683445 | 7 |
18 | 127.75 | 4.19324854180304 | 9 |
19 | 118.5 | 7.04745817062199 | 17 |
20 | 123.25 | 7.13559154286922 | 16 |
21 | 117 | 8.52447456836295 | 20 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 12.3096865939571 |
beta | -0.062743392720682 |
S.D. | 0.0376966620166795 |
T-STAT | -1.66442834362682 |
p-value | 0.112432037552735 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | 12.7019989294224 |
beta | -2.37472256156021 |
S.D. | 1.28169666173510 |
T-STAT | -1.85279608854206 |
p-value | 0.0795100932997238 |
Lambda | 3.37472256156021 |