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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