Thread View: comp.apps.spreadsheets
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Started by Anne Williamson
Wed, 14 Oct 1992 02:45
Excel 4.0 features?
Author: Anne Williamson
Date: Wed, 14 Oct 1992 02:45
Date: Wed, 14 Oct 1992 02:45
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Do any of you know if MS Excel/Windows 4.0 does linear/non-linear regression or curve fitting? If it doesn't, do any of you know of a package that does? Thanks for any light you may shed on the subject Anne
Re: Excel 4.0 features?
Author: James King
Date: Thu, 15 Oct 1992 12:08
Date: Thu, 15 Oct 1992 12:08
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In article <3360@ariel.its.unimelb.EDU.AU> anne@ariel.its.unimelb.EDU.AU (Anne Williamson) writes: >From: anne@ariel.its.unimelb.EDU.AU (Anne Williamson) >Subject: Excel 4.0 features? >Date: 14 Oct 92 02:45:05 GMT >Do any of you know if MS Excel/Windows 4.0 does linear/non-linear >regression or curve fitting? If it doesn't, do any of you know of a >package that does? > >Thanks for any light you may shed on the subject > >Anne Excel 4.0 can do Linear regression, but it does not list non-linear regression or curve fitting in their list of Analysis Tools. A package that you might want to try is Stanford Graphics v2.0 for Windows, made by 3D Vision 2780 Skypark Dr. Torrance, CA 90505 800-729-4723; 310-325-1339 FAX: 310-325-1505 This is a Data Analysis package and Presentation Manager for Windows that is packed with alot of functions including curve fitting across 2 and 3 dimensions. This also has alot of spreadsheet capabilities. Excel 4.0 is a great package if you need to do alot of spreadsheet work, but I don't think all of the functions are there that you would need. Hope this helps. James King Naval Research Lab Washington DC
Re: Excel 4.0 features?
Author: thomas.mcguigan
Date: Thu, 15 Oct 1992 13:08
Date: Thu, 15 Oct 1992 13:08
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In article <james.8.719150890@library.nrl.navy.mil> james@library.nrl.navy.mil (James King) writes: >In article <3360@ariel.its.unimelb.EDU.AU> anne@ariel.its.unimelb.EDU.AU (Anne Williamson) writes: >>Do any of you know if MS Excel/Windows 4.0 does linear/non-linear >>regression or curve fitting? If it doesn't, do any of you know of a >>package that does? > >Excel 4.0 can do Linear regression, but it does not list non-linear >regression or curve fitting in their list of Analysis Tools. Excel does offer exponential curve fitting using the LOGEST() function. See the Excel function reference manual for details. If you need logarithmic or power curve fitting, then Excel can't help. Another package that provides a full menu of curve fitting tools is Harvard Graphics. The curve fitting is, however, limited to two dimensions. Tom McGuigan
Re: Excel 4.0 features?
Author: Pekka Makinen
Date: Thu, 15 Oct 1992 19:17
Date: Thu, 15 Oct 1992 19:17
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In <james.8.719150890@library.nrl.navy.mil>
james@library.nrl.navy.mil (James King) writes :
]Excel 4.0 can do Linear regression, but it does not list non-linear
]regression or curve fitting in their list of Analysis Tools.
In addition to LINEST() function Excel has also a LOGEST() function,
which will give regression values for an exponential function. That
is at least some kind of a non-linear regeression.
--
( Pekka Makinen, Dept. of Med. Chem., University of Helsinki, Finland )
(pemakine@cc.helsinki.fi pemakine@plootu.helsinki.fi pemakine@finuh.bitnet)
( No opinions - no disclaimer - no money - no fun. Fiat lux. )
Re: Excel 4.0 features?
Author: Jess M Holle
Date: Fri, 16 Oct 1992 04:43
Date: Fri, 16 Oct 1992 04:43
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In article <1992Oct15.191726.22860@klaava.Helsinki.FI> pemakine@klaava.Helsinki.FI (Pekka Makinen) writes: > In addition to LINEST() function Excel has also a LOGEST() function, > which will give regression values for an exponential function. That > is at least some kind of a non-linear regeression. Perhaps in one sense of the term "non-liner," however they certainly use the same algorithm as for y=ax+b, except that they fit to ln(y) = ln(b) + x ln(a) which can be rewritten as y' = a'x + b'. Therefore, this is really just a special case of linear regression. What I would consider non-linear regression would be something like fitting: y = a sin(b x + c) I know of no way to linearize this. This requires a different and more complicated approach then linear regression. Jess Holle
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