1
The number which expresses this relation is called the coefficient of correlation.
2
The formula for finding the coefficient of correlation can be understood from examples of its application.
3
Suppose, for example, that in correlating crime and unemployment, the coefficient of correlation were found to be .47.
4
The linear coefficient of correlation between mean MND and mean nuclear area was 0.84.
5
If there is no relationship indicated by the measures of achievements which we have found, then the coefficient of correlation becomes 0.
6
The coefficient of correlation between number of abnormal nerves and the value of PNI-R mounted up to -0.87.
7
If crime were never found in unemployment, and unemployment never in crime, the coefficient of correlation would be -1, indicating a perfect inverse relationship.
8
Results: The median Pearson coefficient of correlation between manually and automatically withdrawn blood samples was 0.976 (0.953-0.996).
9
If in every case of unemployment crime were found and in every case of crime, unemployment, the coefficient of correlation would be +1.
10
The coefficient of correlation between tumor volume and serum alpha-fetoprotein of tumor-bearing mice was 0.51 in YST-1 and 0.42 in YST-2.
11
Descriptive statistics, coefficients of correlation and of variation (CV) were performed.
12
Convergent validity was determined using Pearson coefficients of correlation.
13
The analyses consisted, first, in establishing the matrix of correlations between these self-reports total scores, using Pearson's coefficients of correlation.