Table 3.
Regression analyses for feeding outcomes
Predictor variables | df | R | R2 | Adjusted R2 | F | P |
---|---|---|---|---|---|---|
Proficiency* | 3, 721 | 59.708 | .000 | |||
Feeding experience | 0.381 | 0.145 | 0.144 | |||
Number of sucks | 0.439 | 0.192 | 0.190 | |||
Behavior state | 0.446 | 0.199 | 0.196 | |||
Efficiency* | 4, 726 | 99.919 | .000 | |||
Feeding experience | 0.516 | 0.266 | 0.265 | |||
Number of sucks | 0.582 | 0.339 | 0.337 | |||
Behavior state | 0.348 | 0.345 | ||||
PCA | 0.596 | 0.355 | 0.352 | |||
Consumed* | 3, 727 | 53.182 | .000 | |||
Feeding experience | 0.374 | 0.140 | 0.139 | |||
Number of sucks | 0.411 | 0.169 | 0.167 | |||
Behavior state | 0.424 | 0.180 | 0.177 | |||
Success† | 3, 692 | 92.125 | .000 | |||
Feeding experience | 0.334 | 0.128 | 0.126 | |||
Number of sucks | 0.229 | 0.186 | 0.169 |
Uses multiple regression analysis.
Uses logistic regression analysis; value expressed is χ2.