Table 2 Regression fit for expert and novices
From: Signatures of movement variability anticipate hand speed according to levels of intent
Linear Polynomial model: f(x) = p1 * x + p2 | ||
|---|---|---|
Intended | Incidental | |
Expert Slow | Coefficients (with 95% confidence bounds): | Coefficients (with 95% confidence bounds): |
p1 = 0.6918 (0.6467, 0.7369) | p1 = 0.8846 (0.8516, 0.9177) | |
p2 = 1.844 (1.679, 2.01) | p2 = 0.9094 (0.7559, 1.063) | |
Goodness of fit: | Goodness of fit: | |
SSE: 0.1239 R-square: 0.9303 | SSE: 0.03596 R-square: 0.974 | |
Adjusted R-square: 0.9294 RMSE: 0.04206 | Adjusted R-square: 0.9736 RMSE: 0.02175 | |
Expert Fast | p1 = 0.6879 (0.6603, 0.7156) | p1 = 0.9852 (0.9792, 0.9912) |
p2 = 1.791 (1.694, 1.889) | p2 = 0.1223 (0.09412, 0.1504) | |
SSE: 0.1045 R-square: 0.9723 | SSE: 0.0009422 R-square: 0.9993 | |
Adjusted R-square: 0.9719 RMSE: | Adjusted R-square: 0.9993 RMSE: | |
0.03863 | 0.003521 | |
Novice 1 Slow (lacrosse expert in Figure 1) | p1 = 1.01 (0.9876, 1.038) | p1 = 1.23 (0.9936, 1.266) |
p2 = 0.95 (0.8598, 1.042) | p2 = 1.04 (0.9049, 1.176) | |
SSE: 2.861 R-square: 0.9851 | SSE: 1.704 R-square: 0.9857 | |
Adjusted R-square: 0.9849 RMSE: 0.1717 | Adjusted R-square: 0.9854 RMSE: 0.1884 | |
Novice 1 Fast | p1 = 1.03 (0.9936, 1.066) | p1 = 0.93 (0.8982, 0.9597) |
p2 = 0.87 (0.7878, 0.9687) | p2 = 1.03 (0.9539, 1.117) | |
SSE: 1.704 R-square: 0.9857 | SSE: 1.407 R-square: 0.9764 | |
Adjusted R-square: 0.9854 RMSE: 0.1884 | Adjusted R-square: 0.9762 RMSE: 0. 1272 | |
Novice 2 Slow (swimmer) | p1 = 1.31 (1.144, 1.478) | p1 = 1.37 (1.225, 1.515) |
p2 = 1.34 (1.268, 1.428) | p2 = 1.41 (1.339, 1.484) | |
SSE: 0.9911 R-square: 0.9062 | SSE: 0.5253 R-square: 0.933 | |
Adjusted R-square: 0.9027 RMSE: 0.1916 | Adjusted R-square: 0.9305 RMSE: 0.1395 | |
Novice 2 Fast | p1 = 1.43 (1.289, 1.58) | p1 = 0.82 (0.7393, 0.903) |
p2 = 1.23 (1.167, 1.296) | p2 = 1.56 (1.49, 1.635) | |
SSE: 3.114 R-square: 0.8725 | SSE: 0.8399 R-square: 0.9378 | |
Adjusted R-square: 0.8702 RMSE: 0.2337 | Adjusted R-square: 0.9356 RMSE: 0.1732 | |
Novice 3 Slow | p1 = 0.52 (0.4789, 0.5778) | p1 = 1.19 (0.5917, 1.797) |
p2 = 1.95 (1.851, 2.057) | p2 = 3.21 (0.7475, 5.677) | |
SSE: 53.35 R-square: 0.7431 | SSE: 4.943 R-square: 0.5245 | |
Adjusted R-square: 0.7414 RMSE: 0.5886 | Adjusted R-square: 0.4948 RMSE: 0.5558 | |
Novice 3 Fast | p1 = 0.47 (0.3578, 0.499) | p1 = 0.16 (0.1126, 0.2258) |
p2 = 1.78 (1.61, 1.85) | p2 = 5.63 (5.326, 5.941) | |
SSE: 5.432 R-square: 0.8184 | SSE: 0.3084 R-square: 0.7004 | |
Adjusted R-square: 0.8158 RMSE: 0.2806 | Adjusted R-square: 0.6827 RMSE: 0.1347 | |
Novice 4 Slow | p1 = 0.595 (0.5286, 0.6217) | p1 = 0.967 (0.9576, 0.9763) |
p2 = 1.151 (1.022, 2.281) | p2 = 0.217 (0.1741, 0.2594) | |
SSE: 0.2796 R-square: 0.928 | SSE: 0.001278 R-square: 0.89 | |
Adjusted R-square: 0.9265 RMSE: .07633 | Adjusted R-square: 0.85 RMSE: 0.005161 | |
Novice 4 Fast | p1 = 0.650 (0.6297, 0.7311) | p1 = 0.725 (0.7147, 0.7361) |
p2 = 1.901 (1.671, 2.131) | p2 = 1.767 (1.727, 1.806) | |
SSE: 0.04217 R-square: 0.9382 | SSE: 0.3144 R-square: 0.9546 | |
Adjusted R-square: 0.9369 RMSE: 0.02964 | Adjusted R-square: 0.9346 RMSE: 0.05664 | |
Novice 5 Slow | p1 = 0.441 (0.3199, 0.5625) | p1 = 0.501 (0.417, 0.5265) |
p2 = 4.616 (4.519, 4.714) | p2 = 4.653 (4.614, 4.693) | |
SSE: 0.04739 R-square: 0.776 | SSE: 0.06301 R-square: 0.8946 | |
Adjusted R-square: 0.7628 RMSE: 0.0528 | Adjusted R-square: 0.8916 RMSE: 0.04184 | |
Novice 5 Fast | p1 = 0.450 (0.4087, 0.4926) | p1 = 0.400 (0.27, 0.5318) |
p2 = 4.654 (4.6280, 4.6800) | p2 = 4.425 (4.317, 4.533) | |
SSE: 0.007848 R-square: 0.9679 | SSE: 0.03337 R-square: 0.7106 | |
Adjusted R-square: 0.966 RMSE: 0.02149 | Adjusted R-square: 0.6936 RMSE: 0.0443 | |