multiple correlation वाक्य
उदाहरण वाक्य
मोबाइल
- This is the most analogous index to the squared multiple correlation in linear regression.
- If additional regressors are included, " R " 2 is the square of the coefficient of multiple correlation.
- At the Econometric Institute he served successively as Research Principal and Assistant Director of Research engaged in the analysis of economic time series by methods such as multiple correlation, used for business forecasting.
- In statistics, the coefficient of "'multiple correlation "'is a measure of how well a given variable can be predicted using a linear function of a set of other variables.
- The squared coefficient of multiple correlation can also be computed as the fraction of variance of the dependent variable that is explained by the independent variables, which in turn is 1 minus the unexplained fraction.
- Subsequent research involving students learning French at the college level, taking several different tests and subjecting the resulting data to factor analysis and multiple correlation analysis also showed motivation and verbal intelligence to be primary factors in language learning success.
- Ajzen and Fishbein ( 1973 ) reviewed 10 studies and reported a . 63 average correlation for the prediction of behavior from intentions and a mean multiple correlation of . 76 for the equation predicting intentions from both attitudes and norms.
- Alternatively, a multiple correlation can be performed by using brute force calculation for low values, and then progressively binning the data with a logarithmic density to compute higher values, resulting in the same efficiency, but with lower memory requirements.
- With more than two variables being related to each other, the value of the coefficient of multiple correlation depends on the choice of dependent variable : a regression of y on x and z will in general have a different R than will a regression of z on x and y.
- With similar objectives but larger samples, Sheppard et al .'s and van den Putte's meta-analyses estimated correlations of . 53 and . 62 for the prediction of behavior and multiple correlations of . 66 and . 68, respectively, for the prediction of intentions.
- In a review of the literature on unit weights, Bobko, Roth, and Buster ( 2007 ) noted that " unit weights and regression weights perform similarly in terms of the magnitude of cross-validated multiple correlation, and empirical studies have confirmed this result across several decades " ( p . 693 ).
- The coefficient of multiple correlation takes values between 0 and 1; a higher value indicates a better predictability of the independent variables, with a value of 1 indicating that the predictions are exactly correct and a value of 0 indicating that no linear combination of the independent variables is a better predictor than is the fixed mean of the dependent variable.
- The coefficient of multiple correlation is computed as the square root of the coefficient of determination, but under the particular assumptions that an intercept is included and that the best possible linear predictors are used, whereas the coefficient of determination is defined for more general cases, including those of nonlinear prediction and those in which the predicted values have not been derived from a model-fitting procedure.
- The square of the coefficient of multiple correlation can be computed using the vector \ mathbf { c } = { ( r _ { x _ 1 y }, r _ { x _ 2 y }, \ dots, r _ { x _ N y } ) } ^ \ top of correlations r _ { x _ n y } between the predictor variables x _ n ( independent variables ) and the target variable y ( dependent variable ), and the correlation matrix R _ { xx } of correlations between predictor variables.
- Moreover, it could be established that the multiple correlation ( " R " ) between the two types of variables reaches its maximum ( " R " is about 0.80 ) if the neumatic elements are evaluated according to the following rules of duration : ( a ) neume elements that represent short notes in neumes consisting of at least two notes have duration values of 1 time; ( b ) neume elements that represent long notes in neumes consisting of at least two notes have duration values of 2 times; ( c ) neumes consisting of only one note are characterized by flexible duration values ( with an average value of 2 times ), which take over the duration values of the syllables to match.
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