correlation coefficient in English
The absolute value of the correlation coefficient represents the strength of the association between the two variables.
Use "correlation coefficient" in a sentence
1. Understanding the Correlation Coefficient
2. The point Biserial correlation coefficient (r pb) is a correlation coefficient used when one variable (e.g
3. From Wikipedia, the free encyclopedia The point Biserial correlation coefficient (rpb) is a correlation coefficient used when one variable (e.g
4. What do the values of the Correlation coefficient mean? The Correlation coefficient r is a unit-free value between -1 and 1
5. To measure associations, Pearson's correlation coefficient was used.
6. A Correlation coefficient is a statistical measure, of the
7. The Correlation coefficient is bound by –1 and +1
8. 4 To measure associations, Pearson's correlation coefficient was used.
9. Biserial correlation coefficient test showed Biserial coefficient of 0.548
10. Find the correlation coefficient between any pair of Constants
11. 3 For example, suppose that the correlation coefficient is zero.
12. Agreement between methods was determined using Lin’s concordance correlation coefficient.
13. The Correlation coefficient can range from -1 to +1, with
14. Calculate a point Biserial correlation coefficient and its p-value
15. The Point Biserial correlation coefficient (PBS) provides this discrimination index
16. The CORREL function returns the Correlation coefficient of two cell ranges
17. Calculates a point Biserial correlation coefficient and the associated p-value
18. The Correlation coefficient helps you determine the relationship between different variables.
19. Select the Bivariate correlation coefficient you need, in this case Pearson’s
20. The CORREL() function calculates the correlation coefficient of two cell ranges
21. Use the Correlation coefficient to determine the relationship between two properties
22. Learn about the most common type of Correlation—Pearson’s Correlation coefficient.
23. The point Biserial correlation coefficient lies in the range [-1, 1] and its interpretation is very similar to Pearson’s Product Moment Correlation Coefficient, i.e., stronger higher the value
24. Calculating Covariance is a step in the calculation of a correlation coefficient
25. The correlation Coefficient is a measure of the association between two variables
26. The Pearson correlation coefficient is symmetric: corr(X,Y) = corr(Y,X).
27. PEARSON: Calculates r, the Pearson product-moment correlation coefficient of a dataset
28. 14 Pearsons correlation coefficient was calculated to measure the association between continuous variables.
29. The Correlation coefficient r measures the direction and strength of a linear relationship
30. The degree of association is measured by a correlation Coefficient, denoted by r
31. The Correlation coefficient shows the Correlation between two variables (A Correlation coefficient is a statistical measure that calculates the strength of the relationship between two variables), a value measured between -1 and +1
32. The Correlation coefficient, typically denoted r, is a real number between -1 and 1
33. Since alpha is interpreted as a correlation coefficient, it ranges from 0 to 1.
34. The overall activity score was 0.59 as determined by the intraclass correlation coefficient (ICC).
35. An intraclass correlation coefficient (ICC) was also calculated to determine the reliability of the questionnaire.
36. 27 Therefore, taking the square root of this measure we get the correlation coefficient; i.e..
37. A correlation Coefficient formula is used to determine the relationship strength between 2 continuous variables
38. The closer the Correlation coefficient is to either -1 or 1, the stronger the relationship
39. The calculated value of the correlation Coefficient explains the exactness between the predicted and actual values.
40. The correlation coefficient between the parameter tangential energy (St) and the sensorially evaluated “firmness” wasr=0.95.
41. Fortunately, there’s a function in Excel called ‘CORREL’ which returns the Correlation coefficient between two variables.
42. 28 The relationships between variables were evaluated by the simple correlation coefficient and a multiple regression analysis.
43. 10 Spearman's Rank-Order Correlation Coefficient was calculated to determine the correlation between relative frequency and coverage.
44. When the Correlation coefficient is close to +1, there is a positive Correlation between the two variables.
45. Two variables can be strongly related in another way and still have a Correlation coefficient of zero:
46. It is sometimes called Pearson’s correlation Coefficient after its originator and is a measure of linear association
47. In statistics, the Pearson Correlation coefficient (PCC, pronounced / ˈ p ɪər s ən /), also referred to as Pearson's r, the Pearson product-moment Correlation coefficient (PPMCC), or the bivariate Correlation, is a measure of linear Correlation between two sets of data
48. Looking at the actual formula of the Pearson product-moment Correlation coefficient would probably give you a headache.
49. The criterion for these modifications was the correlation coefficient of each parameter with the nitrates concentration in groundwater.
50. The Biserial correlation coefficient is also a correlation coefficient where one of the samples is measured as dichotomous, but where that sample is really normally distributed. In such cases, the point-Biserial correlation generally under-reports the true value of the association.