correlation coefficient

Converse of object

• calculate: To calculate the intracluster correlation coefficient, and thereby refine the estimation of the sample size needed for the trial.
• use: The degree of relationship between three or more sample populations may be quantified using the multiple correlation coefficient.
• give: Even with the modification the blanket estimator gave low correlation coefficients.
• have: One factor that had a high correlation coefficient was the rate of unemployment.
• identify: Identify a minimum correlation coefficient that describes true particles as opposed to erroneously selected particles.

Preposition: for

datum: Mean correlation coefficients for combined data sets over all hours, months and stations are determined, together with the standard errors of estimates.

Adjective modifier

• rank: A robust measure of numerical model parameter sensitivity was employed, namely the rank order correlation coefficient.
• high: One factor that had a high correlation coefficient was the rate of unemployment.
• partial: Partial correlation coefficients suggest that geographic range is the most important predictor of description date, and shows an inverse relationship.
• r-squared: Correlation Coefficient The r-squared correlation coefficient should also remain high.
• intracluster: To calculate the intracluster correlation coefficient, and thereby refine the estimation of the sample size needed for the trial.
• linear: Two voxel-based similarity measures, the linear correlation coefficient and the entropy correlation coefficient, are used.

Modifies a noun

• threshold: Use 0 for the correlation coefficient threshold to include all particles.
• value: The greater the correlation coefficient value, the more similiar the particle will look to the reference projection.

Noun used with modifier

• rank: The quantity t is known as the Kendall rank correlation coefficient tau.
• moment: Main outcome measures: Relationship between variables examined by calculating Pearson's product moment correlation coefficients.
• product: Main outcome measures: Relationship between variables examined by calculating Pearson's product moment correlation coefficients.
• order: A robust measure of numerical model parameter sensitivity was employed, namely the rank order correlation coefficient.