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This means that a perceiver can improve the accuracy of the judgment by learning to rely on the more useful variables.
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Importantly, the differences in exploratory behaviour have not only been observed when different properties were to be perceived (Arzamarski et al., 2010; Riley et al., 2002), but also when participants learned to attune to a more useful informational variable to perceive a certain property (Arzamarski et al., 2010; Michaels et al., 2008).
The greater the value of regression coefficient, the better and more useful the regression variables (Patil and Patil 2011).
Compound variables, here defined as linear combinations of variables, were found to be more useful than locally defined variables.
However, it would be more useful if the variable of comparison was the first cycle pregnancy rates, for reasons mentioned before.
It is more useful to use the coefficients to calculate the change in the probability for a small change in the independent variable, i.e., marginal effects of each variable on the probability of interest in entrepreneurship.
We recognize that more micro-level data such as county-level data would potentially be even more useful, but data for most variables pertinent for this research are not available at that level.
The higher importance of the capacity to create a good customer relationship is pointed out by Shumway (2001) who finds that market variables are more useful than financial ratios in predicting bankruptcy.
First, earlier studies have revealed that when provided with feedback, perceivers can learn to rely on more useful, or even specifying, mechanical variables in their estimation of length (Arzamarski, Isenhower, Kay, Turvey, & Michaels, 2010; Menger & Withagen, 2009; Michaels, Arzamarski, Isenhower, & Jacobs, 2008; Wagman, Shockley, Riley, & Turvey, 2001; Withagen & Michaels, 2005).
In this framework, we then addressed the following specific questions: 1) Which definition of CC is more useful as a single predictor variable to estimate AGB, the hemispherical view or the vertical projection view?
We suggest that discrete assignments, like those produced by PCO-MC, are appropriate for circumscribing units of biodiversity whereas expression of population structure as a continuous variable is more useful for case-control correction in structured association studies.
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