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Q: Does -0.98 correlation have a strong association?
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What would a strong association but weak correlation look like?

If the form is nonlinear (like if the data is in the shape of a parabola) then there could be a strong association and weak correlation.


What does the sign of the correlation coefficient tell you about the association?

Positive correlation = positive association Negative correlation = negative association


Is 1.10 a strong correlation?

No, The correlation can not be over 1. An example of a strong correlation would be .99


What is the maximum and minimum value of the correlation coefficient?

The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).


Is the Correlation Coefficient of 35 strong?

The correlation coefficient must lie between -1 and +1 and so a correlation coefficient of 35 is a strong indication of a calculation error. If you meant 0.35, then it is a weak correlation.


What does a correlation coefficient of zero indicates?

A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.


Is the correlation coefficient r a resistant measure of association?

no


What does a correlation near 0 indicate?

A correlation near 0 indicates a weak linear association.


What is considered a strong correlation?

"Strong" is very much a subjective term. Not only that, but it depends on expectations. In economics I would consider 70% to be a strong correlation, but for physics I would want more than 95% before I called the correlation strong!


Is 0.17 the strong correlation coefficients?

No.


What is strong correlation?

A very small effect having a greater side effect on a variable or an object may be termed as a strong correlation.


What is the purpose of a correlation analysis?

The purpose of correlation analysis is to check the association between two items. This can be useful in determining accuracy.