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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.

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Q: Does The strength of the correlation between two variables depend on the sign of the coefficient of correlation?
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Related questions

What is regression coefficient and correlation coefficient?

The strength of the linear relationship between the two variables in the regression equation is the correlation coefficient, r, and is always a value between -1 and 1, inclusive. The regression coefficient is the slope of the line of the regression equation.


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How would you describe a Correlation Coefficient in your own words?

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How is a linear relationship between two variables measured in statistics?

The Correlation Coefficient computed from the sample data measures the strength and direction of a linear relationship between two variables. The symbol for the sample correlation coefficient is r. The symbol for the population correlation is p (Greek letter rho).


When is the correlation coefficient zero?

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The weakest correlation coefficient is 0, which means there is absolutely no relationship between the two variables you are correlating.


What does a correlation coefficient of zero indicates?

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What is correlation coefficient of correlation?

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What are the values of coefficient of correlation between perfectly correlated variables?

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