How does one formulate a model for a nonlinear set of data?
I have to come up with two models for this set of data: (2,3) (4,5) (6,4) (8,6) (10,5) (12,12) (14,16) (16,22) (18,26) and (20,32). If it were constant, I'd have no problem. I'm just utterly confused on how to go about this.
best fit line?
What exactly do you mean by 'best fit'?
It's what you're trying to do. Hard to believe you're doing a scatter plot without having ever heard of "best fit" https://www.google.com/#output=search&sclient=psy-ab&q=line+of+best+fit&oq=line+of+best+fit&gs_l=hp.3..35i39j0l3.854.4859.0.5029.16.16.0.0.0.0.350.2534.0j15j0j1.16.0...0.0...1c.1.12.psy-ab.XtG3VxSouWY&pbx=1&bav=on.2,or.r_qf.&bvm=bv.46340616,d.dmQ&fp=6d02d4d3f553fbde&biw=1161&bih=905 OTOH, most lines of best fit appear to be linear, while yours appears to be elliptical/hyperbolic - which you acknowledged when you spoke of "a nonlinear set of data". But no doubt, if I can estimate your scatter visually and run an elliptical section through it by eye, then there's certainly a method of fitting such a curve mathematically.
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