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Table 3.

Best-fitting regression models for SE analysis

df SS F Value P Value Coef.
Model 1: Arld4
Q4@126 1 15.54 27.54 8.169e-07 0.45
Q11@115 1 26.97 47.78 3.956e-10 −0.70
Q12@40 1 3.13 5.55 2.031e-02 −0.23
Q4:Q11 1 3.67 6.50 1.224e-02 0.35
Residuals 104 58.69
Model 2: HDL | Arl4d
Arl4d 1 22.15 36.93 2.039e-08 −0.50
Q2@164 1 7.88 13.14 4.488e-04 0.30
Q7@118 1 8.99 15.00 1.881e-04 −0.42
Q12@40 1 6.59 10.99 1.262e-03 −0.38
Residuals 104 62.38
Model 3: HDL
Q2@164 1 7.15 10.02 2.0e-03 0.35
Q4@126 1 10.99 15.40 1.6e-04 −0.44
Q7@118 1 8.42 11.81 8.5e-04 −0.42
Q11@115 1 4.37 6.13 1.5e-02 0.24
Q4:Q11 1 3.61 5.06 2.7e-02 −0.35
Residuals 103 73.47
Model 4: Arl4d | HDL
HDL 1 22.15 44.56 1.2e-09 −0.35
Q12@40 1 6.13 12.32 6.6e-04 −0.39
Q4@126 1 4.97 9.99 2.1e-03 0.27
Q11@115 1 23.06 46.38 6.5e-10 −0.67
Residuals 104 51.70

SS, sum of square; Coef., regression coefficients.