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The fee is $100 for each variable.
The trick is in weighting each variable.
This time, each variable has shifted.
The lower each variable, the higher each dropoff point's grade.
Each variable should be declared exactly once.
Five-minute averages of each variable were calculated.
Each variable is tested through sub-model.
Only after the data were in did they decide to look at each variable independently.
The relative importance of each variable was ranked using expert knowledge on permafrost conditions and engineering80.
Each variable affects outcomes on its own, but the highest performance comes from the combination.
Hazard ratios of each variable with a 95% confidence interval are shown on the horizontal axis.
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