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Table 1 3-parameter vs. 4-parameter model to describe the BLC-response to MSE10

From: Modelling the lactate response to short-term all out exercise

No

Model

R2

SS ((mmol l-1)2)

A & A1 (mmol l-1)

k1 & y1(min-1)

A2 (mmol l-1)

k2 & y2(min-1)

F-test

1

3-Par.

0.9612

1.4722

7.6001

0.4648

 

0.0665

#

 

4-Par.

0.9814

0.4127

6.3018

0.3685

-18.4300

0.0206

 

2

3-Par.

0.9882

0.5224

7.4582

0.4197

 

0.0491

#

 

4-Par.

0.9902

0.2586

6.3885

0.5273

-665.7111

0.0003

 

3

3-Par.

0.9932

0.7271

11.1438

0.5304

 

0.0317

#

 

4-Par.

0.9975

0.1277

9.0771

0.4665

-403.1144

0.0007

 

4

3-Par.

0.9900

0.1645

4.3546

0.6661

 

0.0318

#

 

4-Par.

0.9885

0.0833

3.5289

0.6283

-272.6364

0.0004

 

5

3-Par.

0.9934

0.6322

11.2838

0.7024

 

0.0498

#

 

4-Par.

0.9967

0.1685

8.5908

0.6356

-21.6096

0.0209

 

6

3-Par.

0.9903

0.7606

9.4807

0.7199

 

0.0363

#

 

4-Par.

0.9924

0.2987

7.3507

0.7579

-1067.4220

0.0002

 

7

3-Par.

0.9914

0.8179

10.4780

0.6771

 

0.0317

#

 

4-Par.

0.9935

0.2906

8.0916

0.6162

-961.1428

0.0003

 

8

3-Par.

0.9805

1.0944

8.1816

0.7267

 

0.0348

#

 

4-Par.

0.9871

0.3348

6.1414

0.6068

-917.7335

0.0002

 

9

3-Par.

0.9871

0.7901

8.4675

0.7458

 

0.0425

#

 

4-Par.

0.9905

0.3065

6.4371

0.8290

-669.8416

0.0003

 

10

3-Par.

0.9778

2.0009

10.7703

0.5843

 

0.0423

#

 

4-Par.

0.9928

0.3211

8.3454

0.4849

-838.0681

0.0004

 

11

3-Par.

0.9877

1.0402

10.6474

0.4781

 

0.0464

#

 

4-Par.

0.9945

0.2487

8.5783

0.4454

-366.2962

0.0009

 
  1. R2: coefficient of determination; SS: sum of squared residuals; A: extra-vascular increase of lactate (3-parameter model); A1: amplitude of the invasion of lactate into the blood compartment (4-parameter model); k1 or y1: rate constant of lactate invasion into the blood compartment; A2: amplitude of the evasion of lactate out of the blood compartment (4-parameter model); k2 or y2: rate constant of lactate evasion out of the blood compartment; #: significantly improved goodness of the fit using the 4-parameter model