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by 6gvONxR4sf7o 2617 days ago
That's not summarizing. "It's the strength of the relationship" is summarizing. "The combined measurement accurately predicts how a potential college applicant will perform in their first year of college 56% of the time" is just wrong. See Anscombe's quartet for a great example of why it's just plain wrong.

https://en.wikipedia.org/wiki/Anscombe%27s_quartet

1 comments

And your completely scientifically accurate but easy for the lay reader to understand description in a few simple words is...?
Isn't that the example I used?

"It's the strength of the relationship"

I happen to like:

"It's how perfectly you can fit a straight line to them."

You can be mathematically accurate without being mathematically precise. Better imprecise but correct than incorrect but precise.

If you're trying to give a quantitative lay picture of what exactly 0.56 linear correlation means, you need to still be quantitatively right, while the above are quantitative. Pictures and examples can help. "For perspective, 0.56 is about the correlation between <example> and <example>"

I'm sorry, I'm not following your description.

Saying there is a quantitative strength to a relationship is, to a regular person, meaningless. Am I .56 in love with my wife?

Can I fit in a straight line to her?

These are not good descriptions. Of course HN is full of data scientists who wildly object to oversimplifying statistical relationships -- luckily you are here to give the detailed mathematical context. But these are not simplified descriptions for a general audience.

> Saying there is a quantitative strength to a relationship is, to a regular person, meaningless.

That the average person would not understand a particular accurate description of a subject does not, in and of itself, make a completely inaccurate alternative description less wrong or even a good simplification.

"less wrong" -- as if what's important is a gradient of "wrongness" and just helping the average person understand stuff without technical jargon.