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one set of data values increases as the other decreases

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Q: What is a correlation where one set of data values increases as the other decreases?
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What does it mean for variables to show correlation?

A positive correlation coefficient means that as the value of one variable increases, the value of the other variable increases; as one decreases the other decreases. A negative correlation coefficient indicates that as one variable increases, the other decreases, and vice-versa.


Is negative correlation bad?

No, the "negative" simply refers to the fact that one variable increases as the other decreases.


Difference between positive and negative correlation?

If the two variables increase together and decrease together AND in a linear fashion, the correlation is positive. If one increases when the other decreases, again, in a linear fashion, the correlation is negative.


Can the Value of Pearson correlation coefficient be -1?

Yes.The Pearson correlation coefficient ranges from -1 to 1 inclusive.The sign of the coefficient tells you the kind of correlation:positive: as one variable increases the other also increases (like y = x)negative: as one variable increases the other decreases (like y = -x)0 means no correlation |r| = 1 means perfect correlation


What does it mean if two variables have a negative correlation?

A positive correlation between two variables, say X and Y, means that if one increases, the other will too. No correlation means that they are not related. A negative correlation means that as one increases, the other decreases. Normally you will see this in studies as "Recent studies demonstrated a positive correlation between eating too much and obesity." Or, "recent studies demonstrate a negative correlation between a healthy, balanced diet and obesity".

Related questions

What does it mean for variables to show correlation?

A positive correlation coefficient means that as the value of one variable increases, the value of the other variable increases; as one decreases the other decreases. A negative correlation coefficient indicates that as one variable increases, the other decreases, and vice-versa.


When there is no relationship between two data sets when one set of data values increases while the other decreases?

negative correlation


What is it called When one variable increases as the other decreases?

This is called a negative correlation. It means that as one variable increases, the other variable decreases, and vice versa.


What does a correlation of-0.9 mean?

As one variable increases the other variable decreases.


What does a correlation of a -0.9 mean?

As one variable increases the other variable decreases.


What does correlation of -0.9 mean?

As one variable increases the other variable decreases.


What does a correlation of -0.9 mean?

As one variable increases the other variable decreases.


What does a correlation of -0.9 mean?

As one variable increases the other variable decreases.


does The strength of the correlation between two variables depend on the sign of the coefficient of correlation?

No, it depends upon the size of the coefficient of correlation: the closer to ±1 the stronger the correlation.When the correlation coefficient is positive, one variable increases as the other increases; when negative one increases as the other decreases.


What are the relationships of a graph?

I think you're referring to Correlation. This means the relationship between two variables. There can be a positive correlation, where as one variable increases, so does the other. There can be a negative correlation, where as one variable increases, the other decreases. Lastly, there can be no correlation, where there is no relationship between the two variables.


Is negative correlation bad?

No, the "negative" simply refers to the fact that one variable increases as the other decreases.


What is a strong correlation in psychology?

A strong correlation in psychology refers to a relationship between two variables where they tend to change together in a consistent and predictable manner. This means that as one variable increases or decreases, the other variable also increases or decreases. Strong correlations are typically indicated by a correlation coefficient close to +1 or -1.