Hi all: If the explainary variables are ordinal,the result of regression is different from "unordered variables".But I can't understand the result of regression from "ordered variable". The data is warpbreaks,which belongs to R. If I use the "unordered variable"(tension):Levels: L M H The result is easy to understand: Estimate Std. Error t value Pr(>|t|) (Intercept) 36.39 2.80 12.995 < 2e-16 *** tensionM -10.00 3.96 -2.525 0.014717 * tensionH -14.72 3.96 -3.718 0.000501 ***
If I use the "ordered variable"(tension):Levels: L < M < H I don't know how to explain the result: Estimate Std. Error t value Pr(>|t|) (Intercept) 28.148 1.617 17.410 < 2e-16 *** tension.L -10.410 2.800 -3.718 0.000501 *** tension.Q 2.155 2.800 0.769 0.445182 What's "tension.L" and "tension.Q" stands for?And how to explain the result then? Many thanks. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.