answersLogoWhite

0

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.

User Avatar

Wiki User

11y ago

What else can I help you with?

Related Questions

Does correlation prove causality Briefly explain?

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.


What is the difference between correlation and 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.


What is the difference between causality and correlation?

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.


Correlation coefficient value mean?

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.


What is the implication of any correlation found between the variables?

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.


What does Correlation of plus 1.00 mean?

It mean that there is no correlation between the two variables. The variables are the same.


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.


What does it mean when two variables have a positive correlation?

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?

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


What is the strongest a correlation could be?

Either +1 (strongest possible positive correlation between the variables) or -1 (strongest possible negativecorrelation between the variables).


What is positive Correlation?

Positive correlation is a relationship between two variables in which both variables move in tandem that is in the same direction.


Can a correlation have dependant and independent variables?

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.