Chronology |
Current Month |
Current Thread |
Current Date |

[Year List] [Month List (current year)] | [Date Index] [Thread Index] | [Thread Prev] [Thread Next] | [Date Prev] [Date Next] |

*From*: bernard cleyet <bernard@cleyet.org>*Date*: Fri, 3 Apr 2020 10:50:10 -0700

On 2020/Apr/03, at 09:17, John Denker via Phys-l <phys-l@mail.phys-l.org> wrote:

Whether the scale (ordinate) is linear of log, the fit is the same.

Really? I must be misunderstanding that sentence, because I

don't see how it could be true. Scaling the data has a huge

effect on the weights. Indeed this is an arcane but effective

way of controlling the weights, if that's what you want, as

discussed below.

Here’s an example of what I meant: http://cleyet.org/covid-19/log-lin-fits/

bc thinks he didn’t “scale" the data, just placed them on the graph differently. Evidently is in a "teachable moment”.

**References**:**[Phys-L] Fwd: Re: six more days in Okla***From:*brian whatcott <betwys1@sbcglobal.net>

**Re: [Phys-L] Fwd: Re: six more days in Okla***From:*bernard cleyet <bernard@cleyet.org>

**Re: [Phys-L] Fwd: Re: six more days in Okla***From:*brian whatcott <betwys1@sbcglobal.net>

**Re: [Phys-L] Fwd: Re: six more days in Okla***From:*bernard cleyet <bernard@cleyet.org>

**[Phys-L] weighted linear regression using spreadsheets***From:*John Denker <jsd@av8n.com>

- Prev by Date:
**Re: [Phys-L] [**External**] Re: covid modeling, LGBTQ risks** - Next by Date:
**Re: [Phys-L] covid modeling, LGBTQ risks** - Previous by thread:
**[Phys-L] weighted linear regression using spreadsheets** - Next by thread:
**Re: [Phys-L] weighted linear regression using spreadsheets** - Index(es):