In scientific circles this would usually lead to embarrassment because most people in such company hearing such a claim would quickly discredit it.
In groups where such claims are accepted they lead to further unproven assertions and possible falsehoods some of which will probably be absurd.
It mean that there is no correlation between the two variables. The variables are the same.
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
a zero correlation means that there is no relationship between the two or more variables.
Causation, correlation...
A correlation
No. The correlation between two variables implies that one of them can be predictor of the other. That is, one variable helps to forecast the other and it is not causality.
Correlation refers to a relationship between two variables where they change together, while causality indicates that one variable directly causes a change in another. In simpler terms, correlation shows a connection, while causality shows a cause-and-effect relationship.
Causality refers to a cause-and-effect relationship where one event directly influences another, while correlation is a statistical relationship where two variables change together but may not have a direct cause-and-effect connection.
The correlation coefficient is a measure of linear association between two (or more) variables. It does not measure non-linear relationships nor does it say anything about causality.
Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.
It mean that there is no correlation between the two variables. The variables are the same.
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.
A positive correlation between two variables means that there is a direct correlation between the variables. As one variable increases, the other variable will also increase.
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
Either +1 (strongest possible positive correlation between the variables) or -1 (strongest possible negativecorrelation between the variables).
Positive correlation is a relationship between two variables in which both variables move in tandem that is in the same direction.
Yes, a correlation can exist between two variables, regardless of their nature as dependent or independent. The correlation coefficient quantifies the degree of relationship between variables, indicating how changes in one variable are associated with changes in the other. However, correlation does not imply causation.