Examples of using Correlation coefficient in English and their translations into Spanish
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The correlation coefficient value must fall from“-1” to“1”.
Examples of his contributions are: Correlation coefficient.
Calculating correlation coefficient r(video)| Khan Academy.
The test of Linearity presented/displayed a correlation coefficient de1;
The correlation coefficient can range in value from -1 to +1.
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The method showed linear response with correlation coefficient value of 0.998.
The pair correlation coefficient can be used as the simplest indicator.
Data analysis was done using the Pearson correlation coefficient.
A correlation coefficient is usually used during a correlational study.
The linearity test method showed a correlation coefficient of 0.9998910.
With a correlation coefficient of 39% and a coefficient of determination of 13%.
Interpreting the results of a Spearman correlation coefficient test.
A correlation coefficient of 0.97 was obtained with a probability level of less than 0.0001.
Rpb: The point biserial correlation coefficient of each assessment item.
The Miniexamen cognitive scale(MEC)of wolf reliability of 0.86% correlation coefficient.
The interpretation of a correlation coefficient depends on the context and purposes.
We execute the calculation of the correlation, which calculates Pearson correlation coefficient.
The criterion validity had a correlation coefficient of 0.94 being statistically significant.
Correlation Coefficient The calculator also determines r, the correlation coefficient, which measures the goodness of fit of the equation with the data.
Resulting from this is Pearson's Correlation Coefficient, the best-known correlation coefficient.
The correlation coefficient between the S&P 500 and the IFC Composite increased from 0.27 between 1995-1997 to 0.41 between 1990-1995.
The data sets exhibited a Pearson's correlation coefficient of 0.88 and a Spearman rank order coefficient of.
The correlation coefficient calculated for the two stocks on the basis of their incremental returns was 0.53, confirming that portfolio construction could reduce risks.
Furthermore, for the monthly and seasonal periods, the correlation coefficient was higher, especially for the month where there was a higher amount of rainfall.
The Pearson correlation coefficient ranges from -1 to +1, where±1 indicates perfect agreement or disagreement, and 0 indicates no relationship.
A comparison between model results andbuoys in the Gulf of Mexico showed a Pearson correlation coefficient larger than 0.66 for temperature and wind components, as presented in the following table.
The Pearson's correlation coefficient between the index and question COSB48 turned out to be 0.66, which is direct and robust, as expected, but without perfect colinearity.
In the case of the C4-CPHO model, the correlation coefficient obtained was 0.88 equivalent to an R-square of 77 per cent.
Furthermore, for the monthly and seasonal period the correlation coefficient was reasonably good especially for the months in which there is a higher amount of rainfall.
An example is the Pearson product-moment correlation coefficient, which is found by dividing the covariance of the two variables by the product of their standard deviations.