Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 237.25 | 1.70782512765993 | 4 |
2 | 233.25 | 1.25830573921179 | 3 |
3 | 237 | 1.41421356237310 | 3 |
4 | 237.25 | 5.7373048260195 | 14 |
5 | 240 | 2.94392028877595 | 7 |
6 | 229.25 | 1.5 | 3 |
7 | 226 | 9.83192080250175 | 24 |
8 | 225.25 | 6.60176744011279 | 15 |
9 | 205.5 | 3 | 6 |
10 | 195.75 | 10.4363148029688 | 25 |
11 | 182.5 | 6.557438524302 | 15 |
12 | 152.75 | 4.5 | 11 |
13 | 152.25 | 12.2848144742469 | 26 |
14 | 143.5 | 7.32575365861197 | 17 |
15 | 110 | 4.16333199893227 | 10 |
16 | 110.5 | 12.8711563842052 | 31 |
17 | 117 | 7.61577310586391 | 18 |
18 | 83.75 | 3.59397644214130 | 8 |
19 | 88.5 | 11.9582607431014 | 29 |
20 | 88.75 | 11.5866302262565 | 24 |
21 | 51.5 | 4.20317340430616 | 9 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 10.7727025091691 |
beta | -0.0268174407726457 |
S.D. | 0.0127890858355143 |
T-STAT | -2.09690052264532 |
p-value | 0.0496179594905318 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | 5.03927258126066 |
beta | -0.682620677810388 |
S.D. | 0.354055955920745 |
T-STAT | -1.92800224482932 |
p-value | 0.0689362526260258 |
Lambda | 1.68262067781039 |