Examples of using Correlation coefficient in English and their translations into Romanian
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Multiple correlation coefficient.
Use chart to visually see the connections between instruments and calculate a correlation coefficient.
How to find the correlation coefficient?
Use the correlation coefficient to determine the relationship between two properties.
Circular serial correlation coefficient.
The correlation coefficient highlights the similarity of the movements between two parities.
The calculation of the correlation coefficient;
Where p is the correlation coefficient between the X-chromosome genes of the mother and father.
Fisher's transformation(of the correlation coefficient).
The difference is that correlation coefficients are scaled to lie between -1 and +1 inclusive.
Where U{\displaystyle{\text{U}}} is based on the standardized sum of squared ranks of the first sample elements in the pooled sample, and V{\displaystyle{\text{V}}} is based on the standardized sum of squared contrary-ranks of the first sample elements in the pooled sample. ρ{\displaystyle{\text{ρ}}}is the correlation coefficient between U{\displaystyle{\text{U}}} and V{\displaystyle{\text{V}}}.
How to calculate the correlation coefficient between two variables in Excel?
For magnitude of correlation, Pearson's correlation coefficient(R) was used.
The two correlation coefficients used agree very well(Materials S1) such that we used only Pearson's r.
Calculation and testing of the linear correlation coefficient by using the Delphi program.
Correlation coefficients of 0 indicate that movements are completely random and have no correlation. .
The normalized version of the covariance, the correlation coefficient, however, shows by its magnitude the strength of the linear relation.
The correlation coefficient, like the covariance, is a measure of the extent to which two measurement variables"vary together.".
In the Forex market, correlation is used to help figure the correlation coefficient, which has a value ranging from -1 to +1;
The correlation coefficient is used to determine the strength of linear relationship between two numerical variables.
The Correlation and Covariance tools each give an output table, a matrix,that shows the correlation coefficient or covariance, respectively, between each pair of measurement variables.
Spearman's correlation coefficient was used to evaluate the correlation between scores and laboratory parameters.
The calculation of the transitional Solvency Capital requirement may include modifications to the stresses,scenarios, correlation coefficients and parameters of the Solvency Capital Requirement standard formula that would otherwise apply.
Spearman's correlation coefficient(P) was performed to evaluate the correlation among laboratory parameters and scores.
The mean correlation coefficient for the General Interests Scales between the first and second administration was .86, ranging from .68 for Religious to.
And from the technical analysis, the tungsten concentrate and ammonium paratungstate andferrotungsten the long-term correlation coefficient respectively 0.980 and 0.947, 100, the correlation coefficient is were maintained in more than 0.96, indicating that basically keep synchronous price relationship.
The mean correlation coefficient for the General Interests Scales between the first and second administration was .87, ranging from.
When the covariance is normalized,one obtains the Pearson correlation coefficient, which gives the goodness of the fit for the best possible linear function describing the relation between the variables.
One year The mean correlation coefficient for the General Interests Scales between the first and second administration was .86, ranging from .68 for Religious to .92 for the Technological, Computational/Financial, and Security factors.