A correlation of -0.86 indicates a strong negative relationship between two variables. This means that as one variable increases, the other tends to decrease significantly, and vice versa. The closer the correlation value is to -1, the stronger the inverse relationship. In practical terms, a -0.86 correlation suggests that the two variables are closely linked in a predictable way, moving in opposite directions.
It mean that there is no correlation between the two variables. The variables are the same.
The correlation coefficient is symmetrical with respect to X and Y i.e.The correlation coefficient is the geometric mean of the two regression coefficients. or .The correlation coefficient lies between -1 and 1. i.e. .
Correlation analysis is the relationship of two values. When two items are similar, they will have a high correlation. Should they differ, they will be much lower in variables.
84.75 is the mean of 88, 91, 74 and 86.
Probably a mis-spelling of "correlation".
Correlation is a statistical measure of the linear association between two variables. It is important to remember that correlation does not mean causation and also that the absence of correlation does not mean the two variables are unrelated.
There is a positive correlation between scoring an 86 on the ASVAB test and one's IQ level, indicating that individuals with higher IQ levels are more likely to score higher on the ASVAB test.
It mean that there is no correlation between the two variables. The variables are the same.
ironically, 86
After mri,on lower spine what does clinical correlation mean
This means that the correlation is negative but still significant.
no
The correlation coefficient is symmetrical with respect to X and Y i.e.The correlation coefficient is the geometric mean of the two regression coefficients. or .The correlation coefficient lies between -1 and 1. i.e. .
The correlation coefficient is symmetrical with respect to X and Y i.e.The correlation coefficient is the geometric mean of the two regression coefficients. or .The correlation coefficient lies between -1 and 1. i.e. .
Correlation analysis is the relationship of two values. When two items are similar, they will have a high correlation. Should they differ, they will be much lower in variables.
84.75 is the mean of 88, 91, 74 and 86.
A serious error. The maximum magnitude for a correlation coefficient is 1.The Correlation coefficient is lies between -1 to 1 if it is 0 mean there is no correlation between them. Here they are given less than -1 value so it is not a value of correlation coefficient.