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Q: When two variables are not related the correlation coefficient?
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Correlation coefficient value of 0.00 indicates two variables are not related?

If the correlation coefficient is 0, then the two tings vary separately. They are not related.


What are the two things A correlation coefficient represents?

A correlation coefficient represents the strength and direction of the relationship between two variables. It measures how closely the two variables are related to each other.


Correlation coefficient is the measure of?

Correlation coefficient is a measure of the strength and direction of a relationship between two variables. It quantifies how closely the two variables are related and ranges from -1 (perfect negative correlation) to 1 (perfect positive correlation), with 0 indicating no correlation.


Where is it not possible to use correlation?

It is not possible to use correlation when the two variables are not related at all. the corelation coefficient value that will be obtained will have no significance.


What is multiple correlation coefficient and partial correlation coefficient?

partial correlation is the relation between two variable after controlling for other variables and multiple correlation is correlation between dependent and group of independent variables.


If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?

"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".


Does the units affect the correlation?

No. The units of the two variables in a correlation will not change the value of the correlation coefficient.


What is the weakest correlation coefficient?

The weakest correlation coefficient is 0, which means there is absolutely no relationship between the two variables you are correlating.


When is the correlation coefficient zero?

The correlation coefficient is zero when there is no linear relationship between two variables, meaning they are not related in a linear fashion. This indicates that changes in one variable do not predict or explain changes in the other variable.


Does a good correlation have to be positive?

No. If the correlation coefficient is close to 1 or -1, then the two variables have a high degree of statistical linear correlation. See the related link, particularly the graphs which illustrate correlation.


What does a correlation coefficient represent?

The correlation coefficient for two variables is a measure of the degree to which the variables change together. The correlation coefficient ranges between -1 and +1. At +1, the two variables are in perfect agreement in the sense that any increase in one is matched by an increase in the other. An increase of twice as much in the first is accompanied by double the increase in the second. A correlation coefficient of -1 indicates that the two variables are in perfect opposition. The changes in the two variables are similar to when the correlation coefficient is +1, but this time an increase in one variable is accompanied by a decrease in the other. A correlation coefficient near 0 indicates that the two variables do not move in harmony. An increase in one is as likely to be accompanied by an increase in the other variable as a decrease. It is very very important to remember that a correlation coefficient does not indicate causality.


What does a correlation coefficient of zero indicates?

A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.