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The logistic regression analyses showed good discriminative validity of SWLS.
Regression analyses showed that residential satisfaction is predicted by personal characteristics, dwelling aspects and mismatch variables.
Multiple regression analyses showed that both models yielded a good prediction of yeast density.
Importantly, regression analyses showed that the effects of image type were mediated by state appearance comparison.
Regression analyses showed significant, linear effects of age on P3 latency and amplitude.
The results of multiple regression analyses showed a negative relation between curiosity and regular rule violation.
Similarly, multiple regression analyses showed that BPI subscales significantly but selectively predicted ABC subscale scores.
Regression analyses showed that variation in the external monitoring performances was reliably predicted by inhibition.
In addition, multiple logistic regression analyses showed an association between antithrombin use and the 28-day mortality rate.
< 10 mm 6 48 Logistic regression analyses showed whether differences were significant (p ≤ 0.05) CI confidence interval, n.s.s
Linear regression analyses showed that REE fractionation was useful for predicting weathering intensity of soils that derived from metaluminous granites.
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