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Mar 21, 2022 at 9:00 history tweeted twitter.com/StackStats/status/1505831591783944195
Mar 21, 2022 at 6:36 comment added Andrew Jaffe The different options have different models of the variance with respect to the curve (i.e., the error model). They essentially make a Gaussian/normal error model for different variables.
Mar 21, 2022 at 0:31 history edited JoeBlackSci CC BY-SA 4.0
Renaming the question to better represent the intent.
Mar 20, 2022 at 17:14 answer added Dikran Marsupial timeline score: 4
Mar 20, 2022 at 16:40 comment added Nick Cox A specific and also general point is that transforming the response can be another option, It's often been commentedm for this kind of data that the reciprocal of miles per gallon, namely gallons per mile, or trivially some multiple of it, can help in modelling; (Those used to some variation on litres per km will be familiar with the idea any way.)
Mar 20, 2022 at 14:09 history became hot network question
Mar 20, 2022 at 12:14 answer added Frank Harrell timeline score: 7
Mar 20, 2022 at 10:37 answer added Sextus Empiricus timeline score: 10
Mar 20, 2022 at 9:44 vote accept JoeBlackSci
Mar 20, 2022 at 9:35 vote accept JoeBlackSci
Mar 20, 2022 at 9:36
Mar 20, 2022 at 9:19 answer added Igor F. timeline score: 15
Mar 20, 2022 at 3:18 history edited JoeBlackSci CC BY-SA 4.0
added 177 characters in body
Mar 20, 2022 at 2:48 comment added JoeBlackSci @Henry Does that mean then that by fitting the polynomial regression, the model will include an erroneous bias. And that the transformation is more appropriate in this particular instance, but may not be for other datasets?
Mar 20, 2022 at 2:34 comment added Henry It is slightly implausible the fuel efficiency increase for very high horsepower
S Mar 20, 2022 at 2:26 review First questions
Mar 20, 2022 at 3:56
S Mar 20, 2022 at 2:26 history asked JoeBlackSci CC BY-SA 4.0