35.51 Fig. 6 Scatterplot of potential explanatory variables (influences) Table 10 Correlation matrix of influences computed by R with method Kendall (red shading indicates strength of correlation).
Correlations (not in table) between intention to use, performance expectancy, effort expectancy, social influence, and self-efficacy were moderately strong (all Pearson r values between.36 and.69, p < .001), except for the correlations of social influence with intention to use (r = .25, p < .001) and with self-efficacy (r = .17, p < .001).001
Given that an optimal plan is dependent on progress rates it seems likely from this visualization that the level of correlation will influence the specifics of the optimal plan while errors in the estimate of the level of correlation will impact the performance of a given plan.
The models described so far provide estimates of A, C, and E influences applicable to the population at large assuming there are no interactions or correlations among the sources of influence, and that the influences are constant throughout the population.
Associations between AES-C-Apathy and neuropsychological tests were investigated with Pearson product moment correlation analysis (r) and degree of influence by univariate regression analysis.
In the case of the American-Chinese political context, some of the stories we tell ourselves derive from feelings and fantasies about the shifting correlation of global power and influence.
After adjusting for partial correlation influence of BMI, both correlations turned non-significant (delta SL & acquisition time: r = −0.318, p = 0.199; beta SL & heart rate: r = 0.445, p = 0.064).
In general, the analysis of the cross-correlation suggests that bistatic and monostatic data have a certain degree of correlation, which could influence the performance of the adopted detector.
32 However, with the use of SRT, which reveals what perceptions the population as a whole may have on a particular phenomenon, the degree of measurable correlation and influence upon the actual behavior that these perceptions have can be clearly seen.
The results show that the correlation of power injections mainly influences the shapes of PDF curves of voltage magnitude.
