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. 2019 Jun 14;35(1):16–35. doi: 10.1080/08870446.2019.1626394

Table 4.

Linear regression predicting weight change from all self-regulation steps; with and without outlier.

      Predictor variables
  Overall model significance Statistic Average comparison Average reflection Average general action planning Average specific action planning
With outlier (N = 24) F(4)=1.905 Ba −1.507 0.741 0.463 −2.057
p = 0.151 p 0.175 0.521 0.539 0.027
f2=0.406 CIa −3.745; 0.731 −1.628; 3.110 −1.084; 2.010 −3.854;
Power = 0.582 −0.261
Without outlier (N = 23) F(4)=5.762 Ba −0.531 0.871 −0.678 −1.424
p = 0.004 p 0.308 0.113 0.081 0.003
f2=1.282 CIa −1.594; 0.532 −0.228; 1.970 −1.449; 0.094 −2.286;
Power = 0.980 −0.563
a

The coefficients represent the effect of a 1 SD increase in the independent variable and show the change in weight in kg that might be expected to ensue.