Examples of using Correlation coefficient in English and their translations into Chinese
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Factor Partial correlation coefficient.
The correlation coefficient of 1.23 between Var3 and Var1 is not possible.
Pearson's product moment correlation coefficient.
She found a correlation coefficient of 0.71, which is impressively high.
Pearson's product moment correlation coefficient.
The Pearson correlation coefficient is symmetric: corr(X, Y)= corr(Y, X).
Common similarity measures are sum of squared distances(SSD), correlation coefficient, and mutual information.
A high positive correlation coefficient means the variables move up and down together.
Instead, you should look at the strength of the relationship(e.g., correlation coefficient, regression coefficient). .
The correlation coefficient between vehicle sales and lubricant consumption is as high as 0.984.
Hit"Enter," and the cell will display the correlation coefficient between the two stocks.
The correlation coefficient between vehicle sales and lubricant consumption is as high as 0.984.
Statistical inference based on Pearson's correlation coefficient often focuses on one of the following two aims:.
The correlation coefficient is a fairly basic indicator that shows whether 2 investment assets are moving in the same direction.
The Biological Sciences section most directly correlates tosuccess on the USMLE Step 1 exam, with a correlation coefficient of .553 vs.
Yet the correlation coefficient of EUR/CAD and EUR/USD on one site is 63.3%- no periodicity named.
Create a normally distributed matrix involving NaN values,and compute the correlation coefficient matrix, excluding any rows that contain NaN.
In general, if a correlation coefficient is 0.6 or greater, it suggests there is a relationship between the variables.
In the INET model, velocity and PQ have no correlation, while price and PQ have a perfect 1.0 correlation coefficient.
Some say the correlation coefficient has to be at least 0.6 to assume a reliable relationship, while others put it at 0.7.
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 correlation coefficient between the S& P 500 and the IFC Composite increased from 0.27 between 1995-1997 to 0.41 between 1990-1995.
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.
(2) The correlation coefficient indicates the strength of the relationship between the two data from the two quantitative data distributions.
The authors used the intraclass correlation coefficient and kappa analysis to quantify the degree of agreement between these three risk-prediction tools.
While the correlation coefficient cannot capture non-linear relationships, it is a good way to start figuring out how variables are related.
Calculate and interpret the correlation coefficient and its confidence interval, and describe the difference between correlation and causation.
Note: The correlation coefficient shows the closeness of fit between the dollar appreciation and real GDP and domestic demand in the various regions.
The Pearson's correlation coefficient takes a value between -1 and 1 where absolute values close to 1 show strong correlation. .
While the correlation coefficient displays a changing, but generally positive relationship between the two instruments, it is anything but consistent.