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A friend of mine on another forum, knowing I am involved in the math help community, approached me regarding a question in statistics. Here's what he said:

I told him I would pass along his data, along with his question, to a site where I know several folks knowledgeable in statistics participate. Here's a link to the data:I'm involved in a debate.

I have a set of data x and y.

I did a simple linear regression using excel and it shows Heteroscedasticity.

As it turns out, calculating Heteroscedasticity is beyond me since I'm not a Statistician.

What I need to know is; with the Heteroscedasticity and low R^2 value, can the correlation between the two variables be considered strong, medium, weak or invalid?

The two variables are for social science.

I just learned that the thresholds for social science (like economics) and natural science (like engineering) are completely different. As it turns out in social science R^2 value of 0.25-0.3 (max value is 1) is acceptable but in engineering that value is unacceptable.

To avoid ideological bias, I'm not going to tell what the two variables represent.

But the more statisticians assessing the data the better since I'll be relying on what others said here.

raw data.xlsx :: Free File Hosting - File Dropper: File Host for Mp3, Videos, Music, Documents.

Thanks to anyone who takes the time to visit the above link, download the data, and consider the question above.