A correlation in univariate linear regression analysis was found between P-NT-proBNP and WMH volumes (r = 0.68, p = 0.001, Figure 1).
Both below and above this level, H2O2 level and arrest time correlated in a linear fashion, resulting in a bi-linear correlation (Fig 3B, right panel).
We applied a cut-off value of >0.6 to the adjacency, which signifies 0.86 of R and 0.92 of the correlation to a linear line fitting with in a power-law distribution.
In addition, correlation analysis showed a linear correlation between cell quantities and Fluc signal (correlation coefficient R = 0.99; linear regression equation: y = 0.2627 x − 0.1007)).
Therefore, a large block VQ is needed to fully exploit the linear and non-linear correlation in a data source.
The tissue-to-muscle ratio based on Au amount (Table S2) is in a linear correlation with those based on Cu radioactivity.
Interestingly, absolute macrophage numbers in gWAT and sWAT showed a non-linear correlation with body weight with a power >1, while the correlation in mWAT was linear.
As path 1 was found to generally contain a single bundle, and therefore be more easily interpretable than path 2, the structural and functional connectivity measurements of this path alone were compared with linear correlation in a similar manner.
Observed reduction potentials gave excellent correlation in the linear relationship between experimental Epc and calculated ELUMO (R2 > 0.99).
This paper proposes a heteroskedasticity-robust Breusch Pagan test of the null hypothesis of zero cross-section (or contemporaneous) correlation in linear panel data models, without necessarily assuming independence of the cross-sections.
