Table 6. Backward regression analysis to predict pattern preference.
|
Model 1 |
Model 2 |
Model 3 |
Model 4 |
Model 5 |
| R2 |
.101 |
0.101 |
0.100 |
0.098 |
.095 |
| p |
<.001 |
<.001 |
<.001 |
<.001 |
<.001 |
| Sig. F change |
<.001 |
.884 |
.602 |
.532 |
.392 |
| Variables |
β |
p |
β |
p |
β |
p |
β |
p |
β |
p |
| HR |
.015 |
.884 |
— |
— |
— |
— |
— |
— |
— |
— |
| RPE |
-.065 |
.592 |
-.063 |
.602 |
— |
— |
— |
— |
— |
— |
| PRT |
.049 |
.506 |
.046 |
.516 |
.044 |
.532 |
— |
— |
— |
— |
| V̇O2 |
.079 |
.413 |
.087 |
0.277 |
.070 |
.308 |
.061 |
.392 |
— |
— |
| TLXcog |
-.304 |
0.007 |
-.302 |
0.007 |
-.345 |
<.001 |
-0.330 |
<.001 |
-.308 |
<.001 |
Beta and P-values for predictor variables, and R
2adj values and P-values for each model. Abbreviations: HR = heart rate, RPE = rating of perceived exertion, PRT = probe reaction time, V̇O2 = oxygen consumption relative to body weight, TLXcog = cognitive subscale of NASA TLX.
