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

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12y ago

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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).


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 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 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.


Is 1.00 a strong correlation?

A perfect positive correlation would be exactly 1; 1.00 means "0.995 or higher", which is quite strong indeed.


Interpret an r value of 0.11?

a strong negative correlation* * * * *No it is not. It is a very weak positive correlation.


When are is close to -1 does it indicate a weak negative correlation?

No, it indicates an extremely strong positive correlation.


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 a strong negative correlation coefficient mean?

The graph follows a very strong downward trend. Would have helped if you specified which correlation coefficient; there are different types.


What is the significance of using coefficient of correlation as a statistical tool of analysis?

It tells you how strong and what type of correlations two random variables or data values have. The coefficient is between -1 and 1. The value of 0 means no correlation, while -1 is a strong negative correlation and 1 is a strong positive correlation. Often a scatter plot is used to visualize this.

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