Q&A: How do I evaluate the “r squared” on quadratic ,cubic , or quartic regressions on a TI calculator?
Question by the voice: How do I evaluate the “r squared” on quadratic ,cubic , or quartic regressions on a TI calculator?
For a linear function, the close the value of /r/ is to 1, the more accurate the line of best fit. Yet, does this apply to more complex functions? And should I take the square root our of the “r squared” first, in order to evaluate?
Thanks so much!
Christian,
Hehe that was such a funny answer!
Best answer:
Answer by Phoenix Quill
hehe you use the hp calculator.
Add your own answer in the comments!
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I’m far too simple minded to understand such things and while I use these formulas and equations often in my research and work I just guess at the answers and put in what seems appropriate. It always seems to work out so I don’t imagine it really matters how accurate you are.
The only set back I’ve had from this method is that they wouldn’t let me graduate. Darn! I think they were just too picky.
Hope someone can help you on this.