multiple correlation

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Related to multiple correlation: partial correlation, multiple correlation coefficient
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Noun1.multiple correlation - a statistical technique that predicts values of one variable on the basis of two or more other variables
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
multivariate analysis - a generic term for any statistical technique used to analyze data from more than one variable
multicollinearity - a case of multiple regression in which the predictor variables are themselves highly correlated
References in periodicals archive ?
36, which was higher than the multiple correlation of the SAT (critical reading, math and writing combined) with FYGPA (r = 0.
The manner in which statistical power depends upon the values of intraclass correlations, sample sizes at the various levels, the standardized average treatment effect (effect size), the multiple correlation between covariates and the outcome at different levels, and the heterogeneity of treatment effects across sampling units is illustrated.
2]), the multiple correlation coefficient (R), the squared multiple correlation coefficient ([R.
The spurious correlation between the predictors and pay satisfaction because of common method variances will both inflate the multiple correlation and affect the regression weight estimates.
Standardized Regression Coefficients [Beta] and Multiple Correlation (R) for the Linear Regression of IQ on Various Combinations of the Hick Paradigm(a)
The stepwise multiple regression, using students' perceived risk, gender, grade level, and ethnic background as predictors of drug use the past month produced a regression model with a multiple correlation coefficient of 0.
For descriptive purpose, the sample squared multiple correlation coefficient, usually denoted by [R.
The regression analysis yielded a multiple correlation of .
A significant multiple correlation was found on all four subcategories of the composite character traits with moral behavior indicating the greatest influence.
Table 4 shows that the number of significant regression weights for the multiple correlation analysis was eight for attitudes.
Together, these two measures have a high multiple correlation (r = 0.

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