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The Mann-Whitney test was used with continuous variables for comparisons between groups, the chi-squared and Fisher exact tests were used to define associations among dichotomized variables, and multivariate analysis was used to define independent associations between two variables; these statistical tests were performed using SPSS v. 20 for Windows.
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The -1 value or else the -100% indicates a perfect linear negative relationship between two variables meaning that these two variables are anti-correlated.
Arrows in a path diagram represent suggested dependencies between variables, and absence of an arrow between two variables indicates that these variables are considered statistically independent in the model.
If the correlation between two variables was more than 0.5, these variables were regarded as co-line variables, and were adjusted in the multivariate analysis.
Pearson's correlation between two variables was used if the residuals of the linear regression between these two variables were normally distributed (otherwise, the Mann-Whitney test was used).
As we were interested in whether response to larval insecticide treatment differs between parental temperature regimes, the interaction between these two variables was retained in the final models.
If such an instrument can be found, the confounding, for example, between diversity and economic performance can be disentangled and causal relationship between these two variables established.
More specifically, the potential relationship between DBH and outerwood density was investigated by calculating correlation coefficients between these two variables for each stand.
Using a correction analysis to examine the relationships between DBH and culm height, I found a strong positive correlation between these two variables (R = 0.93).
Correlation permits us to see the relationship between the variables of our study; it shows the level of significance between these two variables.
Our evidence finds an association between these two variables.
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