Two predictors were negatively correlated, while three were positively correlated with Japanese knotweed distribution.
Two predictors for back pain could be identified: gender and BMI.
Two predictors demonstrated borderline significance in their association with serum vitamin D levels: serum albumin and nutritional status.
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.
