Sentence examples for multiple correlation was from inspiring English sources

The dual transducer method showed similar patterns of fascicle length change (overall mean coefficient of multiple correlation was 0.76 and 0.71 compared to extrapolate and intercept methods respectively), but reached different absolute lengths during the contractions.

For one subject, neither multiple correlation was significant.

The multiple correlation was 0.252.

The significance of the increment in the squared multiple correlation was tested when the physical performance was entered after the control variables.

A power analysis for linear regression was calculated by G*Power 3.1.6 [ 51] using the Linear multiple regression: Fixed model, R deviation from zero procedure, which provided power analyses for testing the null hypothesis that the squared multiple correlation was zero [ 52, 53].

The mean squared multiple correlation is greater than.40 and thus indicates that the variables share a substantial amount of variance with the underlying theoretical construct (Taylor & Todd, 1995), but only 12 of the 36 items show R2 values greater than.50.

Interclass correlation coefficients and coefficient of multiple correlation were used to determine within and between session reliability of peak knee flexion angle, peak internal knee extension moment, peak knee abduction angle, peak internal knee adduction moment and peak vertical ground reaction force.

The level of significance for the multiple correlations was corrected using the Bonferroni method.

Another possible explanation for low squared multiple correlations is not a lack of factors like in the previous example, but rather a lack of high-quality items per factor (or simply a lack of items); the use of extant data in this study certainly lends credibility for this explanation.

As can be seen in Tables 1 and 2, the two multiple correlations were both significant for eleven of the twelve subjects.

Multiple correlations were found among biological parameters or medical data.