Fitting data in Mathematica

This video shows how to perform linear and nonlinear least squares fitting in Mathematica using the functions LinearModelFit and NonlinearModelFit.

[aeromance]

Very useful tutorial! Absolutely beneficial towards some experimental data fitting I needed to conduct.

[photon]

I know its an old post, but it just helped me, thanks :)

[sarahkerrigan]

Love your presentation style:very concise and efficient !!

[Markus]

Thank you! You forgot to mention the Transpose[] function though. Let's say you have two lists, datax = { x1, x2, x3, x4, x5, ... } and datay = { y1, y2, y3, y4, y5, ...}

Then you can combine them to pair using Transpose[{ datax, datay }]. The same works for x, y, z, w and so on.

[lambsauce]

How would I remove the e from the fitted function into the form- y=ab^(k-t)?

[rmdking]

Thank you :) Can you do a presentation for using the levenberg marquardt algorithm for minimizing the difference of squares between experimental and theoretical data? Im having issues with the syntax. Thanks!

[jonahpadawer]

Is there anyway that we can create a fit range? In other words is there a way that we can fit within a certain range. The further I get away from my source then lower the signal-to-noise and I don't want to fit that part. Thanks.

[KafshakTashtak]

Hi, How can I find a regression for a nonlinear model?
Say I have an experimental data, and 2 curve fits, and I obtained one of them with Mathematica, How can I compare the 2 equations to see which one is closer to my data? I mean which one has least square or least deviation from experimental data?

[ruzannakeshishyan]

How can I get dimensional image for regression model
Please help me :(

[JohnWhitePercy]

Guaranteed is the correct spelling this was not how you had it on your video.

[ChaosSinGod]

blurry snapshots, cannot see contents clearly...