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However, the predictability of the two predictors is not differentiable.
The former two predictors had negative β coefficients.
The two predictors function much like longitude and latitude.
This model with two predictors was significant, F (2, 163) = 4.72, p < 0.01.
It consists of one decomposition model, two predictors, and one synthesis model.
The results show that the best performing model includes two predictors: clearness index and relative sunshine.
This simplifies information needs by landscape managers as it replaces two predictors with one.
A logistic analysis confirms that two predictors, institutional infrastructure and employability are statistically significant.
A fifth model includes only the top two predictors: calls made out at 10 am and building land cover.
As presented in Table 3, only two predictors: age and education made a statistically significant contribution towards predicting forest dependency.
Additionally, we added two predictors as categorical variables: the victim's age and the relationship to the perpetrator.
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