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If all variations in the dependent variable can be fully explained by the independent variables - so that there is no residual "error" - the correlation is said to be perfect.

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Q: What is a perfect correlation?
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What is a large but not perfect positive linear correlation?

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When you have a scatter plot and you have to choose a correlation I know Positive Negative and no correlation are options Is moderate correlation an option?

Yes. * A positive correlation is when the dependant variable increases as the independent one does. * A negative correlation is when the dependant variable decreases as the independent one increases. * Perfect correlation is when all the points lie along a straight line; no correlation is when the points lie all over the place. In calculating the correlation coefficient it can have a value between -1 and 1, with 0 indication no correlation and values between 0 and ±1 showing a greater correlation until ±1 which is perfect correlation. Moderate correlation would be one of these intermediate values, eg ±0.5, which shows the points are moderately related.


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.


What is the meaning of no correlation?

It means that here is no linear relationship between the two variables. There may be a perfect non-linear relationship, though.


What does a correlation coefficient of 1.1 mean?

Well, friend, a correlation coefficient of 1.1 is not possible because correlation coefficients range from -1 to 1. If you meant 1.0, that would indicate a perfect positive linear relationship between two variables. It means as one variable increases, the other variable also increases proportionally.