Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 170.25 | 1.70782512765993 | 4 |
2 | 166.25 | 1.25830573921179 | 3 |
3 | 170 | 1.41421356237310 | 3 |
4 | 165.5 | 9.67815409397198 | 21 |
5 | 145.75 | 3.59397644214130 | 8 |
6 | 147.25 | 2.75378527364305 | 6 |
7 | 148 | 7.95822425754221 | 19 |
8 | 126 | 2.94392028877595 | 7 |
9 | 115.75 | 4.27200187265877 | 10 |
10 | 123.5 | 6.2449979983984 | 15 |
11 | 99.75 | 4.34932945023330 | 10 |
12 | 90.25 | 7.36545993132812 | 15 |
13 | 100.75 | 8.22090830342568 | 20 |
14 | 86 | 2.44948974278318 | 5 |
15 | 85.5 | 8.2663978450915 | 18 |
16 | 101.75 | 12.0933866224478 | 29 |
17 | 83 | 1.82574185835055 | 4 |
18 | 79.75 | 3.59397644214130 | 8 |
19 | 97 | 9.01849950564579 | 22 |
20 | 77.75 | 3.86221007541882 | 8 |
21 | 70.75 | 3.685557397916 | 9 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | 7.07166851478005 |
beta | -0.0171184154169445 |
S.D. | 0.0206916812085742 |
T-STAT | -0.827309064178455 |
p-value | 0.418331837846108 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | 4.25203744849898 |
beta | -0.599106176960662 |
S.D. | 0.510008102549603 |
T-STAT | -1.17469933117855 |
p-value | 0.254627936706363 |
Lambda | 1.59910617696066 |