Selecting the weighting coefficients α i in (10) plays an important role on the error variance behavior.
Nonlinear multi-variance behaviors are transformed to a multi-local linear model using a fuzzy approximation method, which is used to implement control steadily and rapidly for the global system.
There are always numerous reasons for the variance in behaviors in the world of tech.
In a systematic review on the predictors of healthcare professionals' behavior, social-cognitive determinants predicted 35% of the variance in behavior and 59% of the variance in intention [ 30].
System variability was observed in ANOVA by Variance variable behavior.
Whether there can be normative beliefs at variance with behavior, and if so, why, is a question we need to answer in order to provide a satisfactory account of norms.
When it comes to explaining variance in behavior, the basic idea is that the statistical analysis of experimental results yields a correlation between a personality variable (such as extroversion) and a behavioral variable (such as an act of helping).
Across all traits, we found substantial among-individual variance in behavior at mean ages among individuals.
Social-cognitive variables accounted for 29% of the variance in behavior, and 41% of the variance in intention.
In fact, previous studies determined that personality variables usually account for about 14% of the variance in behavior [ 26].
These variables can explain 55.5% of the total variance in behavior as to the avoidance of SHS (Table 3).
