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 ...
No relationships were observed between the longitudinal development of anthropometric variables and success in either female or male SpSk athletes [62]. While relatively little data are available for SpSk, no data on sex differences in anthropometric variables have been reported at all for NC or S...
Two factors with eigenvalues greater than 1 were extracted which accounted for 76.96% of the variations present in the original variables. The two factors were used to obtain the factor score coefficients. When utilized as independent variables in multiple regression analysis, the two factors ...
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...
The results show the range of non-dimensional variables is consistent with each other. It is helpful to build a combined criterion of similarity that combines many atmospheric elements at all pressure levels. Different from the results from Hamming distance and correlation coefficient,the similarity ...
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 ...
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 ...
This reinforces the idea that among HVR variables, dHVR is the main discriminator for functionally different alleles. On the other hand, the correlation between dPSD and de8 is negative (r = À0.28) and significant (P = 0.015). This means that there is a mixed crit...
In one aspect of the disclosure, a mathematical relationship may exist between the variables. For example, for a given rack travel, a linear or other function may define a relationship between displacement and articulation angle. Referring to FIG. 2, in one example, where the steering rack trav...
Results:The PSS-4 scores could differentiate between relevant sociodemographic variables (such as sex, age, nationality, marital status, education, parental status, employment status, and income class). The PSS-4 scores showed a positive correlation with the SCL 90-R anxiety and depression scales....