Приклади вживання Correlation coefficient Англійська мовою та їх переклад на Українською
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Correlation coefficient, r(p).
Spearman's rank correlation coefficient.
Correlation coefficient, rs(p).
The CORREL() function calculates the correlation coefficient of two cell ranges.
The correlation coefficient, r(reliability, p).
When X and Y are perfectly monotonically related, the Spearman correlation coefficient becomes 1.
How to calculate the correlation coefficient between two variables in Excel?
Then the normalized mutualinformation is calculated akin to the Pearson correlation coefficient.
The Spearman correlation coefficient is often described as being"nonparametric".
Variables are referred to as correlations, but are not necessarily Pearson's correlation coefficient or Spearman's ρ.
Null Hypothesis H 0: The population correlation coefficient IS NOT significantly different from zero.
A distance metric for two variables X andY known as Pearson's distance can be defined from their correlation coefficient as[32].
Where rxy is the sample correlation coefficient between x and y; and sx and sy are the sample standard deviation of x and y.
This z-transform is approximate and that the actual distribution of the sample(partial) correlation coefficient is not straightforward.
Considering that the Pearson correlation coefficient falls between[- 1, 1], the Pearson distance lies in[0, 2].
KEY WORDS: Film thickness, rheological properties of the oils,the effective viscosity, the correlation coefficient, loaded contact.
The PEARSON() function calculates the correlation coefficient of two cell ranges. It is the same as the CORREL function.
While a general tendency to less cycling in months with heavy raincan be observed in the right diagram, the correlation coefficient R2 reaches just -0.22.
If the correlation coefficient is close to -1, this means that the currency pairs move in opposite directions in most cases.
The constructed relationships have high goodness-of-fit(the correlation coefficient is not lower than 0.92) and high predictive capacity.
The Pearson correlation coefficient indicates the strength of a linear relationship between two variables, but its value generally does not completely characterize their relationship.
In the third case(bottom left), the linéar relationship is perfect,except for one outlier which exerts enough influence to lower the correlation coefficient from 1 to 0.81.
To the contrast, for MPs that were at least once elected under the majoritarian system, the correlation coefficient between their overall term in the parliament and the number of instances of faction switching is 0.5.
The reliability of index differences in the groups was estimated by Kolmogorov- Smirnov's criterion,the correlation analysis was carried by means of Pearson's linear correlation coefficient.
In this case the Pearson correlation coefficient does not indicate that there is an exact functional relationship: only the extent to which that relationship can be approximated by a linear relationship.
We had reviewed literature data about principles of operation of these methods, calculated the correlation coefficient between experimental and predicted values of LogP/LogS and respective calculation errors.
If the variables are independent, Pearson's correlation coefficient is 0, but the converse is not true because the correlation coefficient detects only linear dependencies between two variables.
A test statistic is a scalar function of all the observations, such as the average or the correlation coefficient, which summarizes the characteristics of the data by a single number, relevant to a particular inquiry.
Not limited to real-valued random variables like the correlation coefficient, MI is more general and determines how similar the joint distribution p(X, Y) is to the products of factored marginal distribution p(X)p(Y).