Table 3. Resulting multiple linear regression models for the mobility measures and gait parameters.

The adjusted R² is shown along with the root-mean square error (RMSE) and the 10-fold cross-validated RMSE (CV-RMSE). All models and remaining independent variables are significant at p < 0.001. The variables selected are walking speed (S), height (H), age (A) and gender (G).

Dependent Variable	Multiple Linear Regression Model					Adjusted R2	RMSE	CV-RMSE
Mobility Measures (with walking speed (S))
3mTUG (s)	= 8.501	− 4.418 ⋅ S	+ 0.034 ⋅ H	+ 0.029 ⋅ A		0.473	1.205	1.221
7mTUG (s)	= 17.321	− 6.344 ⋅ S	+ 0.022 ⋅ H	+ 0.039 ⋅ A		0.532	1.496	1.497
10mWT (s)	= 15.537	− 5.902 ⋅ S				0.904	0.378	0.388
sit-to-stand (s)	= 1.262	− 0.371 ⋅ S		+ 0.006 ⋅ A	+ 0.160 ⋅ G	0.226	0.292	0.293
stand-to-sit (s)	= 2.391	− 0.471 ⋅ S		+ 0.006 ⋅ A		0.084	0.499	0.506
Gait Parameters (with walking speed (S))
cadence (steps/min)	= 159.200	+ 39.833 ⋅ S	− 0.567 ⋅ H			0.763	5.240	5.335
ankle velocity (deg/s)	= 286.250	+ 47.675 ⋅ S	− 0.736 ⋅ H		− 20.633 ⋅ G	0.270	17.921	18.282
stride time (s)	= 0.660	− 0.345 ⋅ S	+ 0.005 ⋅ H			0.735	0.049	0.050
stride length (m)	= −0.238	+ 0.418 ⋅ S	+ 0.005 ⋅ H			0.667	0.068	0.069
Mobility Measures (without walking speed (S))
3mTUG (s)	= −1.248		+ 0.051 ⋅ H	+ 0.049 ⋅ A		0.252	1.436	1.444
7mTUG (s)	= 3.228		+ 0.048 ⋅ H	+ 0.070 ⋅ A		0.276	1.868	1.870
10mWT (s)	= 6.378			+ 0.028 ⋅ A		0.142	1.128	1.134
sit-to-stand (s)	= 0.678			+ 0.008 ⋅ A	+ 0.146 ⋅ G	0.193	0.298	0.301
stand-to-sit (s)	= 1.637			+ 0.009 ⋅ A		0.066	0.504	0.511
Gait Parameters (without walking speed (S))
cadence (steps/min)	= 244.310		− 0.669 ⋅ H	− 0.306 ⋅ A		0.398	8.342	8.402
ankle velocity (deg/s)	= 324.990		− 0.598 ⋅ H		− 17.100 ⋅ G	0.060	20.264	20.524
stride time (s)	= −0.088		+ 0.006 ⋅ H	+ 0.003 ⋅ A		0.402	0.073	0.075
stride length (m)	= 0.197		+ 0.006 ⋅ H			0.181	0.106	0.107