Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!zaphod.mps.ohio-state.edu!samsung!uunet!munnari.oz.au!ariel!ucsvc.ucs.unimelb.edu.au!wehi.dn.mu.oz!baxter_a From: baxter_a@wehi.dn.mu.oz Newsgroups: comp.sys.amiga.applications Subject: Re: Regression Analysis Message-ID: <1991Jun26.103503.24633@wehi.dn.mu.oz> Date: 26 Jun 91 10:35:03 GMT References: <57096@nigel.ee.udel.edu> Organization: Walter & Eliza Hall Institute Lines: 24 In article <57096@nigel.ee.udel.edu>, GORRIEDE@max.cc.uregina.ca (Dennis Robert Gorrie) writes: > > I was looking for a similar program. I tried Math-Amation, but > I was not impressed. So I use a spread sheet program, Analyse. > You could use any spreadsheet program. You just have to type > in your data, and know the formulas for the Least Squares > approximation, (Best Fit Line) and Pearson's product moment r. > > Look them up in any stats book. If you use a spreadsheet, then you > can apply the formula to your all your data, get the best fit points, > and then plot them. Plus, a good spreadsheet program will > be able to import/export data in LOTUS format for using your same > data on an pc-clone. > > P.S. Physics data is not always linear, so you have to apply > Log or Ln to your data to make it linear. When you finally calculate > the best fit equation of the Log(y) vs x graph, or Ln (y) vs x, you > then have to integrate it to get the equation of your original > non-linear graph. Multiplot does all this automatically. I am currently looking at improving the curve fitting function. The latest version uses an iterative method. Regards Alan