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Further Questions for Discussion: –What is the difference between a correlation and a coincidence?
A correlation and a multicollinearity analysis were performed prior to the goodness of fit analysis.
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Any findings of significance can therefore only reflect a correlation and not a causal relationship.
Olayemi et al. [ 6] found that education had a positive correlation and age a negative correlation.
The results show a good correlation and give an intuitive understanding of multiple snap-through behavior.
Of the ten RCTs, nine showed a positive correlation and one showed a nonsignificant correlation.
Here ρ1 is a spatial correlation and ρ2 is a temporal correlation parameter.
A similar pattern was observed: a -0.20 Depressivity correlation and a 0.12 Submission correlation.
However, they can sometimes be found for a specific correlation and a particular parameter value.
The interaction patterns have both a short-range correlation and a long-range correlation.
A Pearson correlation coefficient greater than 0.60 indicated a strong correlation, a coefficient between 0.30 and 0.60 indicated a moderate correlation and a coefficient below 0.30 indicated a low or very low correlation [40].
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