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A common problem with regression analysis of data consisting of multiple observations over time is serial correlation, in which the error term in a given year correlates with the error term in the previous year.
We note a correlation in which timing stability in AXPs decreases with increasing spin-down rate.
An alternative to traditional Damköhler number correlation, in which an equivalent oxygen level is used in conjunction with thermal-regime spread rate formulas, is proposed to capture the effect of finite-rate chemistry.
Spearman's rank correlation coefficients were used to study the correlation in which we tested the null hypothesis that the correlation coefficient of zero versus the alternative hypothesis that the correlation is not equal to zero.
In this metric, a value corresponding to 1 means total correlation, in which the vectors coincide and are in the same direction, whereas a value of −1 corresponds to the case where the vectors coincide but are in opposite directions.
This phenomenon is known as gene-environment correlation in which genetically driven influences of individuals affect their environments.
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The correlation matrix, in which correlation coefficients are arranged in a matrix consisting of individual elements/isotopes to be correlated to show the correlation coefficient at their intersection cell (Figure 2), shows an overall data structure.
Corrected item-total correlations, in which an item is correlated with the total scale score excluding itself, were tested for each item.
Additionally, disattenuated correlations, in which an adjustment is made for the reliability of the measures, were calculated to provide an assessment of the relationship between AS and TA rather than the measures used to operationalize them.
Correlations in which the Pearson correlation coefficient- r>0.75 are presented by color coding in Figure 3 (CCM-pink, energy metabolism-yellow, nitrogen metabolism-blue, Ci fixation and photosynthesis-green).
For example, some analysis, such as regulatory network reconstruction, may be highly sensitive to random correlations, in which case concordance with RT-PCR measurements may not be the only consideration for selecting an algorithm [13], [31].
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