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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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Q: Is correlation resistant or nonresistant to outliers?
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Is correlation a resistant measure?

i think correlatioin is a nonresistant measure because if you take out outliers than only the data that's close together is there...this will increase the correlation closer to -1 or 1, depending on the slope


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