bivariate correlation

collocation in English

meanings of correlation

These words are often used together. Click on the links below to explore the meanings. Or, see other collocations with correlation.
correlation
noun[C or U]
uk /ˌkɒr.əˈleɪ.ʃən/ us /ˌkɔːr.əˈleɪ.ʃən/
a connection or relationship between two or more facts, ...
See more at correlation

Examples of bivariate correlation

These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
First, the association of individual variables with each of the quality of life measures was assessed by the bivariatecorrelation coefficients.
However, in every case, the valence of the regression coefficient was of the same valence as the bivariatecorrelation, thus ruling out suppressor effects.
However, national income levels are not the same as growth rates, and there is no bivariatecorrelation between the two.
Thus, the bivariatecorrelation between these residuals and regime type is virtually zero.
Indeed, these rent-seeking claims are consistent with the sign of the simple bivariatecorrelation of 0.20 between government size and corruption.
The bivariatecorrelation between this index and threat perceptions is 0.12.
Note: (r) refers to bivariatecorrelation between predictor and outcome.
Several conclusions could be drawn from the bivariatecorrelation analyses.
This included analysis of variance, bivariatecorrelation analysis, and multiple logistic regression analysis.
This included a two-step screening process of analysis of variance and bivariatecorrelation analysis, followed by multiple linear regression modeling.
Note that path analyses provide stronger support for directionality of effects compared to bivariate correlations.
Of the five motivation variables measured, none of the bivariate correlations approached statistical significance, so the whole subset was dropped from further analysis.
Table 3 presents the bivariate correlations between the predictor variables and the outcome variables of vocabulary.
Within the three surveys, the bivariate correlations between the responses to these two items are: 0.64, 0.70, and 0.67, respectively.
There are twenty bivariate correlations between the demographic controls and personality for each of the three datasets.
In this regard, the two variables used in these bivariate correlations were independent.
First, bivariate correlations are used to identify independent variables that will most likely turn out significant in multivariate models.
In the second section, bivariate correlations between dyadic ant triadic relational patterns and the background variables were assessed.
Finally, bivariate correlations are examined for the experimental and skill measures.
Two patterns among the bivariate correlations are especially noteworthy.
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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