Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 74.25 | 1.70782512765993 | 4 |
2 | 70.25 | 1.25830573921179 | 3 |
3 | 74 | 1.41421356237310 | 3 |
4 | 66.25 | 6.55108133567785 | 16 |
5 | 61.25 | 5.85234995535981 | 13 |
6 | 76.25 | 9.03234926989282 | 22 |
7 | 77.75 | 8.53912563829967 | 19 |
8 | 63.75 | 1.5 | 3 |
9 | 68.25 | 8.9953691790091 | 22 |
10 | 76.75 | 3.59397644214130 | 8 |
11 | 76.5 | 1.29099444873581 | 3 |
12 | 74 | 9.20144916122817 | 20 |
13 | 88.75 | 9.21502396451939 | 20 |
14 | 105.5 | 7.14142842854285 | 17 |
15 | 106.5 | 6.85565460040104 | 15 |
16 | 125 | 15.5134350376268 | 35 |
17 | 132.75 | 5.67890834580027 | 13 |
18 | 130.25 | 9.5 | 21 |
19 | 147.75 | 11.5866302262565 | 24 |
20 | 144.5 | 8.66025403784439 | 21 |
21 | 130.75 | 11.7011395456454 | 26 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | -0.539564582660916 |
beta | 0.0792087114571817 |
S.D. | 0.0251011101843182 |
T-STAT | 3.15558598307206 |
p-value | 0.00520709122659696 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | -5.01467905710545 |
beta | 1.48927621968915 |
S.D. | 0.530924073905568 |
T-STAT | 2.80506440164556 |
p-value | 0.0112983039664927 |
Lambda | -0.489276219689146 |