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Table 8 Coefficients from regression models 1 and 2

From: Adaptive training algorithm for robot-assisted upper-arm rehabilitation, applicable to individualised and therapeutic human-robot interaction

Model

Unstandardized coefficients

Standardized coefficients

t

Sig.

B

Std. Error

Beta

Model 1

(Constant)

7.457

.222

 

33.617

.000

Embedded

-.650

.081

-.120

-8.027

.000

Reach

.851

.076

.157

11.214

.000

Towards Gravity

.399

.095

.068

4.206

.000

Ground Level

.920

.091

.157

10.091

.000

Small

-.151

.078

-.028

-1.950

.051

Subject 2

-1.563

.276

-.117

-5.669

.000

Participant 3

3.003

.284

.211

10.572

.000

Participant 4

1.471

.284

.103

5.178

.000

Participant 5

.838

.309

.050

2.710

.007

Participant 6

4.903

.295

.319

16.630

.000

Participant 7

2.891

.295

.188

9.805

.000

Participant 8

-.390

.284

-.027

-1.374

.170

Participant 9

1.073

.295

.070

3.640

.000

Participant 10

.566

.295

.037

1.921

.055

Participant 11

-.662

.284

-.046

-2.329

.020

Participant 12

2.362

.295

.154

8.013

.000

Participant 13

5.587

.295

.364

18.950

.000

Participant 14

-1.445

.284

-.101

-5.087

.000

Participant 15

-.340

.295

-.022

-1.154

.249

Participant 16

-.379

.295

-.025

-1.285

.199

Participant 17

.748

.295

.049

2.536

.011

Participant 18

-.597

.295

-.039

-2.024

.043

Participant 19

-1.449

.295

-.094

-4.914

.000

Participant 20

2.323

.295

.151

7.879

.000

Participant 21

-2.114

.295

-.138

-7.171

.000

Participant 22

2.230

.295

.145

7.564

.000

Participant 23

2.091

.284

.147

7.362

.000

Participant 24

.264

.295

.017

.895

.371

Participant 25

-1.835

.295

-.119

-6.224

.000

Participant 26

.818

.295

.053

2.775

.006

Participant 27

-.930

.295

-.061

-3.154

.002

Participant 30

-.826

.295

-.054

-2.801

.005

Participant 31

2.682

.295

.175

9.099

.000

Participant 32

-.079

.294

-.005

-.269

.788

Model 2

(Constant)

6.358

.215

 

29.597

.000

Embedded

-3.477

.167

-.641

-20.841

.000

Reach

4.433

.167

.817

26.606

.000

Towards Gravity

.117

.289

.020

.404

.686

Ground Level

1.831

.167

.312

10.991

.000

Small

.729

.167

.134

4.377

.000

Participant 2

-1.563

.242

-.117

-6.470

.000

Participant 3

3.003

.249

.211

12.065

.000

Participant 4

1.471

.249

.103

5.909

.000

Participant 5

.838

.271

.050

3.092

.002

Participant 6

4.903

.258

.319

18.978

.000

Participant 7

2.891

.258

.188

11.190

.000

Participant 8

-.390

.249

-.027

-1.568

.117

Participant 9

1.073

.258

.070

4.153

.000

Participant 10

.566

.258

.037

2.192

.028

Participant 11

-.662

.249

-.046

-2.658

.008

Participant 12

2.362

.258

.154

9.145

.000

Participant 13

5.587

.258

.364

21.626

.000

Participant 14

-1.445

.249

-.101

-5.805

.000

Participant 15

-.340

.258

-.022

-1.316

.188

Participant 16

-.379

.258

-.025

-1.467

.143

Participant 17

.748

.258

.049

2.894

.004

Participant 18

-.597

.258

-.039

-2.309

.021

Participant 19

-1.449

.258

-.094

-5.608

.000

Participant 20

2.323

.258

.151

8.991

.000

Participant 21

-2.114

.258

-.138

-8.184

.000

Participant 22

2.230

.258

.145

8.632

.000

Participant 23

2.091

.249

.147

8.402

.000

Participant 24

.264

.258

.017

1.022

.307

Participant 25

-1.835

.258

-.119

-7.103

.000

Participant 26

.818

.258

.053

3.167

.002

Participant 27

-.930

.258

-.061

-3.600

.000

Participant 30

-.826

.258

-.054

-3.197

.001

Participant 31

2.682

.258

.175

10.384

.000

Participant 32

-.065

.258

-.004

-.253

.800

EV1G1

4.193

.334

.653

12.569

.000

EV1G2

2.831

.264

.377

10.732

.000

RR1G1

-2.682

.289

-.358

-9.280

.000

RR1G2

-3.759

.204

-.501

-18.401

.000

RR1CB1

-1.361

.236

-.212

-5.770

.000

G1CB1

-.390

.236

-.052

-1.653

.099

G2CB1

.345

.167

.046

2.068

.039