I Think What If You Want To Understand The Cycles

15 Nov 2025 · 1 min

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Short transcript excerpt contrasting quantile regression with least squares regression. The speaker explains that on a log–log chart the 0.5 quantile (blue line) corresponds to a median trend, whereas least-squares regression produces an average (mean) fit; the excerpt emphasizes that quantile regression represents data differently and requires a different way of thinking about ‘average’ behavior.

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If it was a log log chart. What you will see that this line, this darker line and this blue line. The blue line is actually the 0.5 quantile. And this kind of goes in the middle, right? Beta. It's not. It's different from the more classical type of regression that is called least square regression. That one gives you an average mathematically, the quantile gives you a median. It has slightly different way of thinking about data. Right. How to represent the average data.