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When there are no missing values to impute, the calculated score is the same as the known "true" score thus the scores correlate perfectly (spearman = 1.0) Figure 1 graphically displays the correlation between the predicted values and the observed scores when the probability of missing data is increased to 20%.
Panel a displays the correlation between procrastination and regional homogeneity (ReHo) values.
Figure 4c displays the correlation lengths by fitting the Raman curves using the phonon confinement model.
The graph displays the correlation between experimental (pK_a) values, and the values predicted by one of the QSPR models developed in this study.
Figure 2 The hydraulic model of institutionalization. Table 2 displays the correlation matrix involving the five variables included in the analysis.
Fig. 2 displays the correlation of vehicle speed, maximum storage power and storable braking energy at wheel for the whole vehicle.
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Table 5 displays the correlations amongst industries and the market for returns and the liquidity measures.
Table 2 displays the correlations between composite-scales of teaching qualities of faculty and their being seen as role models.
Table 1 displays the correlations between the SCARED and the YSR for the self-report version.
Table 1 displays the correlations, means, and standard deviations for the latent variables in the model.
Table 3 displays the correlations between the SHAPS and the other measures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com