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Timeline for What is wrong with extrapolation?

Current License: CC BY-SA 3.0

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Dec 29, 2017 at 22:50 comment added AdamO @Kostia I might disagree that regression models (with time as a covariate) are often used for extrapolation or that if they are, those rogue analysts are going against the general consensus of statistics. ARIMA models are employed with adequate success and conservatism in most areas of research.
Jun 30, 2016 at 8:01 comment added user83346 see stats.stackexchange.com/questions/221379/…
Jun 29, 2016 at 13:04 history bounty ended Glen_b
Jun 28, 2016 at 16:04 comment added Metariat "The regression model is “by construction” an interpolation model" -> I guess we can have exactly the same issue with interpolation (even if it's less likely to happen)
Jun 22, 2016 at 16:27 comment added Kostia Exactly. And this why extrapolation may be a bad idea.
Jun 22, 2016 at 16:20 comment added horaceT Point taken and you may (should) be right. But judging from the batch of points, there is no way one could infer the true function.
Jun 22, 2016 at 7:26 comment added Kostia "The straight regression line fit data points much better than your curvy true function" This statement is false. The RSS for the true regression function is smaller than RSS for the simple regression line,
Jun 22, 2016 at 5:17 comment added horaceT This is a terrible example against extrapolation. The straight regression line fit data points much better than your curvy true function.
S Jun 20, 2016 at 13:56 history suggested psmears CC BY-SA 3.0
Improve wording and grammar; add description for image
Jun 20, 2016 at 13:45 review Suggested edits
S Jun 20, 2016 at 13:56
Jun 19, 2016 at 6:31 history answered Kostia CC BY-SA 3.0