Standard Deviation-Mean Plot | |||
Section | Mean | Standard Deviation | Range |
1 | 100.345 | 0.026457513110646 | 0.0600000000000023 |
2 | 100.48 | 0.0336650164612059 | 0.0799999999999983 |
3 | 100.49 | 0.0270801280154531 | 0.0600000000000023 |
4 | 100.8725 | 0.175570498660793 | 0.390000000000001 |
5 | 100.9625 | 0.0464578662158846 | 0.0999999999999943 |
6 | 101.1175 | 0.0512347538297997 | 0.120000000000005 |
7 | 101.5225 | 0.151739909054936 | 0.340000000000003 |
8 | 101.7 | 0.116332855777433 | 0.269999999999996 |
9 | 102.0525 | 0.0512347538297937 | 0.11999999999999 |
10 | 102.925 | 0.362629287289375 | 0.810000000000002 |
11 | 103.0975 | 0.135000000000003 | 0.320000000000007 |
12 | 103.33 | 0.0774596669241464 | 0.179999999999993 |
13 | 104.0125 | 0.343062190669075 | 0.75 |
14 | 104.035 | 0.175214154679354 | 0.400000000000006 |
15 | 103.9825 | 0.218536800867347 | 0.450000000000003 |
16 | 104.75 | 0.23108440016583 | 0.490000000000009 |
Regression: S.E.(k) = alpha + beta * Mean(k) | |
alpha | -4.93466536506247 |
beta | 0.0496293002195122 |
S.D. | 0.0139761134229311 |
T-STAT | 3.55100869016159 |
p-value | 0.00319452161139339 |
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) | |
alpha | -214.278836929792 |
beta | 45.812332007318 |
S.D. | 10.4972263214717 |
T-STAT | 4.36423209373036 |
p-value | 0.000647957421033155 |
Lambda | -44.812332007318 |