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I think this is a straight forward question. We can look and analyze the chart. I had read in a solution of a similar question that its not necessary to be 100% correlated. If we could spot 75% correlation then we should go ahead with the answer.
­Is it true, when more than 75% of the data are correlated we can infer as correlation?
Also is it applicable in all of the gmat sections, or data insight only??
Please respond Asap.
Thank you.

And how do I tag the prominent leader of GMAT? any suggestion.
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How come 5 and 6 positively correlated? 5/7 times this happens which is ~71%, still do we consider them to be positively correlated?
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Hi experts chetan2u Bunuel KarishmaB ChiranjeevSingh MartyMurray bb egmat GMATNinja!

How come 5 and 6 positively correlated? 5/7 times this happens which is ~71%, still do we consider them to be positively correlated?

if so, what are the standards (% wise , if any) to call somthing corrleational in GMAT context?
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Hi experts chetan2u Bunuel KarishmaB ChiranjeevSingh MartyMurray bb egmat GMATNinja!

How come 5 and 6 positively correlated? 5/7 times this happens which is ~71%, still do we consider them to be positively correlated?

if so, what are the standards (% wise , if any) to call somthing corrleational in GMAT context?

Positively correlated means that majority of A and B move in same direction.
Directly proportional would mean each portion of A and B moves in same direction.
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Nipunh
Hi experts chetan2u Bunuel KarishmaB ChiranjeevSingh MartyMurray bb egmat GMATNinja!

How come 5 and 6 positively correlated? 5/7 times this happens which is ~71%, still do we consider them to be positively correlated?

if so, what are the standards (% wise , if any) to call somthing corrleational in GMAT context?

The point is that their graphs should move in a similar direction to be called positively correlated. Every corresponding point need not match.
I have talked about this in detail here: https://youtu.be/Zx-PysHlhGM
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