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Multiple regression results for those variables on demographics may be found in Table 5.
Table 4 shows the multiple regression results of the coping strategy variables under the SWB.
The two sets of multiple regression results indicated that students' beliefs about nature of science did not predict their conceptual change.
The multiple regression results showed that happiness, self-esteem, and satisfaction with life did not seem to influence the mind-wandering phenomenon.
Multiple regression results indicate that living with foster parents that were perceived as helpful and receiving mental health services were significant for self-esteem outcomes.
Multiple regression results confirm the slower travel speeds of coho during the coastal migration compared to those of steelhead and sockeye (Figure 4; β1, steelhead = 1.34, 95% c.l., 1.17 1.51; β1, sockeye = 1.29, 95% c.l., 0.73 1.84, compared to the coho reference group).
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The multiple regression result also showed that these at-risk adolescents who were monitored by their parents were more motivated to achieve than were pressured and had negative emotion.
The combination of spring temperature and CWB in summer in a multiple regression resulted in higher explanatory power of regressions.
The multiple regressions results show that subjective norms were the most significant predictors of behavioural intention towards practising safety followed by perceived behavioural control and safety attitude.
For the linear multiple regressions, results are presented as standardised β coefficients (95% confidence interval).
In the second part, multiple regression analysis results are presented and the effect of each predictor variable on flood resilience building progress is briefly discussed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com