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Q: When two variables are empirically correlated with each other they must?
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A correlation coefficient of zero indicates?

A correlation coefficient of zero means that two things are not correlated to each other.


The causes of muticolinearity in multiple regression?

There is multicollinearity in regression when the variables are highly correlated to each other. For example, if you have seven variables and three of them have high correlation, then you can just use one them in your dependent variable rather than using all three of them at the same time. Including multicollinear variables will give you a misleading result since it will inflate your mean square error making your F-value significant, even though it may not be significant.


What is the definition of correlation?

If two things correlate or are correlated , they are closely connected or strongly influence each other. correlation-noun


Does quantitative research typically use independent and dependent variables?

Some times. At other times it uses mutually dependent variables (changes in each variable affect the other).


What does collinear in statistics?

Two or more explanatory variables are collinear when they have a linear relationship with each other. You are usually expected to remove at least one of the variables from your multiple regression analysis.

Related questions

Root word of correlate?

Correlate is two things that are closely connected. It is also correlated with each other.


What does it mean when 2 variables have a relationship?

Usually it means that each of the variables is dependent on the other. if one changes, so does the other.


A correlation coefficient of zero indicates?

A correlation coefficient of zero means that two things are not correlated to each other.


The causes of muticolinearity in multiple regression?

There is multicollinearity in regression when the variables are highly correlated to each other. For example, if you have seven variables and three of them have high correlation, then you can just use one them in your dependent variable rather than using all three of them at the same time. Including multicollinear variables will give you a misleading result since it will inflate your mean square error making your F-value significant, even though it may not be significant.


What is the definition of correlation?

If two things correlate or are correlated , they are closely connected or strongly influence each other. correlation-noun


How are the variables related to each other?

There are infinitely many possible ways in which two variables can be related to one another.


What is a statement called that explains how variables affect each other called?

hypothesis.


Does quantitative research typically use independent and dependent variables?

Some times. At other times it uses mutually dependent variables (changes in each variable affect the other).


When a graph of two variables is a straight line passing through the origin the variables are said to be to each other?

It means that they are directly proportional to each other. As one variable increases, the other variable increases/decreases at a constant rate. The constant rate is determined by the gradiant of the straight line.


A correlation of zero between two quantitative variables means that?

It means there is no discernable relationship between the two variables. Knowing one variable does not give you any help in working out the other. They are independent of each other.


When the product of two variables is constant the variables are proportional to each other?

Yes. They are inversely proportional. The proportion y ∝ 1/x, means xy=K, where K is the constant.


What does collinear in statistics?

Two or more explanatory variables are collinear when they have a linear relationship with each other. You are usually expected to remove at least one of the variables from your multiple regression analysis.