Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 29.25 | 1.70782512765993 | 4 |
2 | 25.25 | 1.25830573921179 | 3 |
3 | 29 | 1.41421356237310 | 3 |
4 | 24.75 | 6.34428877022476 | 15 |
5 | 22.5 | 2.38047614284762 | 5 |
6 | 28.5 | 5.44671154612273 | 13 |
7 | 29 | 6.27162924074226 | 15 |
8 | 28.75 | 6.23832242407097 | 13 |
9 | 30.75 | 4.64578662158878 | 10 |
10 | 25 | 5.8878405775519 | 12 |
11 | 22 | 2.94392028877595 | 7 |
12 | 19.25 | 4.3493294502333 | 10 |
13 | 24.75 | 1.5 | 3 |
14 | 37.75 | 9.39414711402797 | 21 |
15 | 43.75 | 4.99165971062398 | 10 |
16 | 50.25 | 5.18812747209113 | 11 |
17 | 56.75 | 6.18465843842649 | 14 |
18 | 57.25 | 3.40342964277702 | 8 |
19 | 67.25 | 1.70782512765993 | 4 |
20 | 75.75 | 4.78713553878169 | 10 |
21 | 78 | 1.41421356237310 | 3 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 4.51508599987455 |
beta | -0.00913340769609086 |
S.D. | 0.0277699350583999 |
T-STAT | -0.328895536733643 |
p-value | 0.74583222882182 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | 1.33404305591742 |
beta | -0.0211034225818561 |
S.D. | 0.333017001086162 |
T-STAT | -0.0633704060544224 |
p-value | 0.950133497054272 |
Lambda | 1.02110342258186 |