Timeline for Using a given polynomial formula in a lm() model in R
Current License: CC BY-SA 4.0
3 events
| when toggle format | what | by | license | comment | |
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| Mar 31, 2019 at 21:26 | comment | added | James Phillips | I suggest a test where you average the Y values for each X, and then fit those five data points. In effect, this is what the regression software is doing so you should see similarly shaped curves. | |
| Mar 31, 2019 at 19:31 | comment | added | MB93 | Thank you very much for your response. The data represents measured biomass over different vol% concentrations of nutrients and should therefore be continuous. I've also tested simpler polynomials (degree 2 and 3) which I also compared via anova() to eachother. The differences between the models always came back significant. | |
| Mar 31, 2019 at 19:12 | history | answered | David | CC BY-SA 4.0 |