Sentence examples for product correlation from inspiring English sources

Model predictions were significantly correlated with measured values, as evidenced by a squared Pearson product correlation coefficient of r = 0.993; this effect is observable in the plot as the data are scattered about the line of unity.

Pearson's product correlation was conducted to test for correlations between the approach to teaching evolution and the questions involved with the definition of science and the definition of evolution.

Inter-rater reliability measures indicated strong agreement between the trained and the expert observers: intra-class correlations (ICC) = 0.905, CI 95% 0.747 0.965, p < 0.0001; Pearson product correlation, r (18) = .83, p < 0.05.

The following tests were carried out: (i) one-way ANOVA on the variability of MC, D, and GCV, (ii) Pearson product correlation coefficient on the relationship between D and GCV and MC and GCV, and (iii) Pearson rank correlation coefficient on the relationship between FVIs and FIs.

Comparisons were made using Pearson's product correlation, RMS of raw signal were also compared to VO2 using a linear regression curve fit.

Correlations were analyzed using Pearson product correlation.

Pearson product correlations were determined for all contrasts of interest.

Spearman or Pearson product correlations were used for ordinal and continuous data, respectively.

We also calculated Pearson product correlations between psychological variables, pain threshold measures, and SMT hypoalgesia.

Pearson product correlations were computed between independent and dependent variables, and coefficients are reported in Supplementary Table 1.

Correlations were examined with either Pearson product moment correlation coefficient or Spearman's rank correlation coefficient.