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Q: What is numerical measure of linear association between two variables?
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A correlation is a numerical measure of the?

relationship between 2 variables


A statistical measure of the association between two variables is called a?

Correlation Coefficient.


What measure of central tendency can be used for both numerical and categorical variables?

Mode.


Which measure of central tendency can be used for both numerical and categorical variables?

mean


What do you call a measure of the strength and direction of the relationship between two variables or data sets?

A measure of association. You might be thinking of the correlation coefficient in particular.


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 does correlation mean in maths?

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.


Correlation coefficient is the measure of?

A correlation is a statistical relationship between two or more variables. A correlation coefficient is when a researcher compares their result to another to see if they look more or less the same meaning if it is reliable or not.


What does correlate clinically mean?

Correlate clinically means that something is closely related to a clinical setting. Correlate means a measure of association between two variables or in relation to.


What term defined as the size of the association between two variables independent of the sample size?

There is no such term. The regression (or correlation) coefficient changes as the sample size increases - towards its "true" value. There is no measure of association that is independent of sample size.


What are the advantages of regression over correlation?

Correlation is a measure of association between two variables and the variables are not designated as dependent or independent. Simple regression is used to examine the relationship between one dependent and one independent variable. It goes beyond correlation by adding prediction capabilities.


What is the statistical measure of a relationship between two variables?

corrrelation