Our analysis showed that (1) there exists a true correlation between SSYe and h and (2) the spurious correlation is strongly related to the variability of the variables.We then proposed a general rule stating that the apparent spurious correlation between two variables could be ignored if the ...
Additionally, Person correlation analysis indicates that there is no high bivariate correlation between constructs (r > 0.90) (Podsakoff et al., 2003) (see Table 1). Hence, CMB is not found in this study. Table 1 Descriptive statistics of main variables. Full size table Demographics This...
Trivariate normal distributions are used to simultaneously simulate QoL outcomes and two latent variables for toxicity and efficacy, where a latent variable larger than 0 indicates the event of interest (DLT or response) occurs. The simulation results show that the correlations between these three ...
Comparison between two variables crude oil and stock markets on a multiscale level This fresh paper main objective to provide multiscale evidence of the COVID-19, With the exception of the Kuwait market, as we can see in the low-frequency market, At high frequencies, as a result shows a ...
Spearman measures the statistical dependence between two variables to assesses how well the relationship between the rankings of the variables can be described using a monotonic function. Spearman’s Rank Correlation was used rather than Pearson’s because Pearson’s assumes that the relationship between...
where Sm (m2 mol− 1) is defined by GDSn0 (GD = 1 in the case of a surface or interfacial rate-determining step); ϕ is called the areic reactivity of growth (mol m− 2 s− 1) and does not depend on the morphologic variables, so it is an intrinsic property of the solid...
previous studies [75,77], the increase in VEwas the only measure related to the increased RE (r = 0.64; p < 0.05). The fact that the two variables were correlated in several studies does not in itself imply cause and effect; however, quantitative estimates of the reduced cost ...
This is an indication that the observed variables are rather insensitive to these parameters. On the other hand, some parameters experience a strong reduction of the variance which indicates that these parameters are strongly correlated with the observed variables in the wells, and thus can be ...
Table 2 Correlation between environmental variables for the final model ofO. monocerosandO. rhinoceros. Full size table Table 3 The environmental variables for modeling. Full size table Modeling analysis MaxEnt is a machine learning algorithm that employs the theory of maximum entropy25,26,27. This ...
between survivors of an acute MI who are and are not at high risk of further complications.FIG. 54shows sample data of the interdependence of time-domain and wavelet decomposition indices, in which is presented the correlation coefficient between the two techniques. The value of correlation ...