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I'm confused about the circular reference thing. Like, was there a reason to do the linear regression that way? Is there a secret story in a story where next week, in a spinoff / sequel episode, the data scientist responsible will explain why they took the weird/surprising choices they did?


It's a common excel trick in finance. For example, let say you have $0. If you borrow $1,000,000 at 5% interest, by end of year you'll be short $50k. That means you actually needed to borrow $1,050,000. But the extra $50K causes more interest ($2,500)... so you needed to borrow $1,052,500, which causes more interest... and so on.

Instead of doing some Excel Goal Seek or Solver or VBA macro, it's nice to let the excel "reactivity" handle it for you.


Your explanation is brilliant!


I didn't know you could do this in excel but it reminded me of the converge adverb in k: https://xpqz.github.io/kbook/Adverbs.html#converge-f-f



I used it once to run a Monte-Carlo simulation in a spreadsheet.

After enabling iterative calculation and manual calculation, every press of refresh runs a loop. Fun stuff.




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