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. 2020 Jun 15;10(6):1037. doi: 10.3390/ani10061037

Table 4.

Summary of an ordinal linear regression model on performance in racing greyhounds.

Term Effect S.E. p-Value
Eye Temp Before 0.011 0.068 0.885
Eye Temp After −0.173 0.074 0.027 *
Sex (m) 0.752 0.257 0.003 *
Box2 −0.746 0.417 0.073
Box3 −0.830 0.447 0.063
Box4 −1.220 0.425 0.004 *
Box5 −1.023 0.455 0.025 *
Box6 −0.820 0.425 0.053
Box7 −1.122 0.418 0.007 *
Box8 −0.723 0.413 0.080
Age −0.395 0.136 0.004 *
Days_last_race 0.001 0.005 0.791
Field −0.459 0.177 0.010 *
Temp 0.002 0.029 0.954
Sexm:Days_last_race −0.022 0.010 0.023 *

* Statistically significant (p < 0.05) effects. S.E = standard error.