Regression analyses showed that the perceived lighting qualities helped to explain the variance in visual accessibility, whereas PCQ helped to explain perceived danger in the environment.
In addition even though Mixed Strategy Nash Equilibrium (MSNE) has been found to fit better the observed aggregate choices, it does not explain the variance in choices well.
For it to be useful, a segmentation scheme must meet two simple criteria: (1) It must explain the variance in the behavior of interest better than other available variables, and (2) consumers within segments should be more homogenous than those across segments.
Several related ongoing projects investigate whether differences in attention can explain the variance in behaviors across a variety of choice domains, how visual saliency of products and underlying preferences can interact to influence search behavior, and whether eye-tracking data can complement and extend existing computational techniques.
When combined, four of our seven variables associated with evolution acceptance significantly contribute to explain the variance in evolution acceptance.
First, what economic factors explain the variance in the relative volume of spam seen from different countries.
For example, median_val was important to explain the variance in the low risk area S1, but not in the high risk area S2.
A multiple linear regression model was used to explain the variance in the disinfection rates, and this model demonstrated an interaction effect between the initial phage and bacterial concentrations.
Laminar area was expressed as types and this trait was not revealed by our PCA as a variable that contributes to explain the variance in the first four components.
The subset is built by selecting the components in the order of their ability to explain the variance in the dependent variable, i.e. in this study, the thermodynamic properties.
In On Human Nature Wilson describes genes as, essentially, difference makers—he explicitly claims that differences in genes, even for heritable traits, only explain the variance in traits across a population; they are by no means independent causes for any trait in individuals and variation in the environment also accounts for part of the variation in any trait (Wilson, 1978, 19).
