Sentence examples for multiple correlation weighting from inspiring English sources

Analyses were carried out using SPSS Statistics 17.0 for Windows and SAS for multiple correlation weighting (SAS Institute 2011).

To estimate correlation, multiple correlation coefficients were applied.

Linear multiple correlation, rank correlation, circular linear correlation, circular rank correlation, and multiple regression were used as statistical analyses.

The detail signals have weak multiple correlation, while the approximate signal has strong multiple correlation.

For one subject, neither multiple correlation was significant.

Note: SMC squared multiple correlation.

The multiple correlation was 0.252.

When fitting multiple correlation curves measured for the same molecular system, the local variances of the individual curves can also be used as weights for the curve average.

Particularly, redundancy is measured by a new regularized version of the coefficient of multiple correlation and relevance is measured by a highly robust correlation coefficient based on the least weighted squares regression with data-adaptive weights.

The multiple correlation coefficient was 0.31.

Collinearity was checked by multiple correlation analysis.