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. 2015 Nov 25;7:29. doi: 10.1186/s13102-015-0024-7

Table 1.

Regression models of prediction error for walking speed and VO2 by calibration method

Prediction error for speed of walking (km · h−1) Prediction error for VO2 (ml · kg−1 · min−1)
Regression parameter Treadmill method Track method Treadmill method Track method
Coefficient
(95 % CI )
BPV		 Coefficient
(95 % CI)
BPV		 Coefficient
(95 % CI)
BPV		 Coefficient
(95 % CI)
BPV
Intercept 0.71***
(0.56, 0.87)
0.54***		 0.02
(−0.05, 0.08)
0.19***		 4.99***
(3.96, 6.00)
3.26***		 0.33
(−0.06, 0.73)
1.10***
Speed 0.15***
(0.06, 0.24)
0.26***		 −0.04
(−0.09, 0.01)
0.08*		 1.16***
(0.58, 1.75)
1.57***		 −0.29**
(−0.49, −0.08)
–
(Speed)2 −0.06*
(−0.11, −0.01)
0.13*		 −0.04
(−0.09, 0.01)
0.10**		 –
–
–		 −0.20*
(−0.38, −0.02)
–

These regression models report on average prediction error by calibration method (see intercept values) and if this error depends on walking speed (see regression coefficients for speed and speed2). Coefficient = regression coefficient; 95 % CI = 95 % confidence interval; BPV = Between-participant variability in regression coefficients (expressed as standard deviations); – = not applicable (not significant regression term or between-participant variability based on a comparison of fixed and random slope models); *p < .05; **p < .01; ***p < .001. Speed (km · h−1) was centered at 5 · 7 km.h−1