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The correlation uses the concept of 'joint factor' as a measure of rock mass quality, allowable closure, depth and radius of opening as the governing parameters.
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The correlation used 3038 data points within the given ranges.
Other variables also were analyzed to determine the correlation using simple linear regression.
While the correlations when using zero- to bigram language models lie in the same range, the correlation using the trigram model is reduced.
The correlation using the new accessibility indicator is significantly higher than the one using the old one.
It could be a better way for correlation forecasting, if one describes the correlation using a mean-reverting stochastic process.
The correlation (using PVs) between CK and PCK is 0.80 for the German sample and 0.49 for the Austrian one.
We then calculated for the correlation using correlation and linear regression analysis.
We then computed the correlation using the paired values from the overlapping genes.
We tested the significance of the correlation using a Mantel test with 30,000 permutations [ 63].
Therefore, we re-evaluated the correlation using a maximum longevity value of 90 years for humans, as in previous studies.
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