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one set of data values increases as the other decreases

Q: What is a correlation where one set of data values increases as the other decreases?

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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.

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

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.

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

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".

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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.

negative correlation

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

As one variable increases the other variable decreases.

As one variable increases the other variable decreases.

As one variable increases the other variable decreases.

As one variable increases the other variable decreases.

As one variable increases the other variable decreases.

No, it depends upon the size of the coefficient of correlation: the closer to Â±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.

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.

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

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.