Sentence examples for compared correlation coefficients from inspiring English sources

The two compared correlation coefficients (r) are transformed into two z values by this formula: which almost follows a normal distribution of mean m, and variance 1/ n-3), with n the number of individuals in the sample.

However, since the models from the literature have been derived for different video formats and applications, comparing correlation coefficients does not allow any conclusions to be drawn on which model performs the best, but rather gives us an indication of relative performance of our model.

For example, comparing correlation coefficients of datasets containing a different number of points (via a Fisher transform) loses its correlation-type interpretation of reproducibility.

Thus, it would only be statistically justified to compare correlation coefficients (between overlapping pair of variables) if both of these correlations coefficients were significantly different from zero (which is not the case).

Applying subsequent Pearson test for comparing correlation coefficients, we found that the difference between correlation coefficients was significant: participants' RT was significantly more correlated to the amount of difference between sample and test sets (p<0.01).

A Steiger t test was used to compare correlation coefficients among surrogate indices.

The Steiger t test was used to compare correlation coefficients among indices of insulin sensitivity.

Comparing correlation coefficients revealed no significant differences in correlations between any of the self-report measures and HbA1c levels (all P > 0.17).

Steiger t tests were performed to compare correlation coefficients among these insulin sensitivity indices with the GDR measure of insulin sensitivity.

Comparing correlation coefficients of matching pairs of variables between clusters revealed differences predictive of life and death and disparate physiologic relationships depending on injury and resuscitation state.

We noticed the difference of sample sizes between HK and TS genes when comparing correlation coefficients between such two gene sets.