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correlation is drawn from all data points. if you look at the r^2 value and it's below 0.99 for example (should be higher in non research work (and in much research work) it indicates that 1 of your points may be an outlier. If you input all datapoints into excel, you may be able to see the point that's throwing it off. There are also statistical tests you can do to spot an outlier.
In other words, correlation is not independent of an outlier. it will make the r^2 value worse. If the outlier is taken out, then the correlation could be deemed independent but only because you manipulated it and had taken the outlier out
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Can there be 2 outliers in a set of data?
There is no limit to the number of outliers there can be in a set of data.
What are limits on outliers?
apparently there is no limit to outliers. at least according to everybody else's answers.
Is the median particularly sensitive to outliers in the data?
It is not.
How can you determine which measure of central tendency is best for the set if data?
Mean- If there are no outliers. A really low number or really high number will mess up the mean. Median- If there are outliers. The outliers will not mess up the median. Mode- If the most of one number is centrally located in the data. :)
What is the meaning of 0.79 coefficient correlation?
good correlation
