Polynomial Regression in RStudio

[@keiserious]

This is so easy to follow 7 yrs later, Thank You Tom!

[@kabirshahi5521]

@ Tom Sherratt, Can you explain a bit about how you got intercept and parameter value for the quadratic and cubic model?? I will be grateful.

[@amylr3683]

Does anyone know why I get "Error: 'from' must be a finite number"?

[@wildvineyard]

This is still using lm (linear model) to do the regression. Isn't there a way to directly fit a non-linear equation without linearizing?

[@CubeDomination]

I needed to know 1 thing and this video showed me it. Thank you (I was looking how to assign x and y from a .csv sample data file)

[@witsqafa]

Hi, thanks your video is really useful for me. I have a question, one of my coefficient regresion's p-value is not rejected when I applied linear and non linear regression model, do you have any suggestions for my case? is that even matter if I keep on using the models? Thanks in advance!

[@KhaLed-pb4pu]

Where is the R or R square value? how much of the variability is explained? thank you

[@dominicj7977]

how to know if x squared explains variability in y, more than x

[@aronlukacs8969]

www.theanalysisfactor.com/regression-modelshow-do-you-know-you-need-a-polynomial/

[@rodneyjones9443]

Tom. Excellent and helpful video. Is there some place that I can download the data that you used in the example, so that I replicate the results?

[@simonpaulhardy4392]

fluoride not flouride !