Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 116.75 | 0.701491916625494 | 1.92999999999999 |
2 | 118.57 | 0.491565218090501 | 1.55000000000000 |
3 | 120.53 | 0.552300971967608 | 1.43000000000001 |
4 | 122.121666666667 | 0.582203234326817 | 1.53 |
5 | 123.675833333333 | 0.501297558765493 | 1.58000000000000 |
6 | 124.840833333333 | 0.313498103034231 | 1.15000000000001 |
7 | 127.19 | 0.869242094115224 | 2.61 |
8 | 130.6775 | 1.24643582776141 | 3.56 |
9 | 133.008333333333 | 0.255479347442601 | 0.830000000000013 |
10 | 134.940833333333 | 0.523145353229925 | 1.85000000000002 |
11 | 137.138333333333 | 0.712981363180288 | 2.1900 |
12 | 140.110833333333 | 0.828289127532092 | 2.69 |
13 | 142.59 | 0.810039280753493 | 2.55000000000001 |
14 | 145.108333333333 | 1.00645040823799 | 3.46000000000001 |
15 | 151.236666666667 | 1.58111199840971 | 4.72 |
16 | 152.126666666667 | 0.557140970137773 | 1.76999999999998 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | -1.17031332914840 |
beta | 0.0142683486392837 |
S.D. | 0.00701943858202299 |
T-STAT | 2.03269085875691 |
p-value | 0.0615015956615179 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | -11.5417475643500 |
beta | 2.27590006532594 |
S.D. | 1.33260277460470 |
T-STAT | 1.70786081846562 |
p-value | 0.109730502197262 |
Lambda | -1.27590006532594 |