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.
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