Notice

Mark

Linear

Quadratic

Exponential

Bench road

1

Multiple R

R

0.9905451

0.9900295

0.989893331

2

R Square

R²

0.981179595

0.98015841

0.979888807

3

Standard Error

E

3.506487648

3.65390383

3.692186238

4

Observations

n

102

102

102

5

Regression model

T

$\begin{array}{l}T=\text{21}.\text{12}+\text{14}0.\text{5}0\ast L\\ +0.0\text{43}\ast i-\text{279}.\text{68}\ast w\end{array}$

$\begin{array}{l}T=6.53+39.96\ast L^2\\ -0.02\ast D^2+22.04\ast L\\ \ast D-69.01\ast L-1.05\ast D\end{array}$

$\begin{array}{l}T=-64251.68+90.61\ast e^L\\ +1.85\ast e^i+59226.97\ast e^w\end{array}$

Ramp

1

Multiple R

R

0.986360259

0.986317476

0.986356668

2

R Square

R²

0.97290656

0.972822164

0.972899477

3

Standard Error

E

3.582549638

3.591237708

3.583279283

4

Observations

n

46

46

46

5

Regression model

T

$\begin{array}{l}T=-36.99+134.67\ast L\\ +0.79\ast i+121.69\ast w\end{array}$

$\begin{array}{l}T=-569.25-0.91\ast D^2\\ -88.52\ast L\ast D+994.92\\ \ast L+68.97\ast D\end{array}$

$\begin{array}{l}T=-171.48+77.32\ast e^L\\ +0.0005\ast e^i+114.91\ast e^w\end{array}$

Surface road

1

Multiple R

R

0.994184897

0.993602695

0.99419007

2

R Square

R²

0.988403609

0.987246315

0.988413895

3

Standard Error

E

3.844788064

4.032076969

3.84308244

4

Observations

n

56

56

56

5

Regression model

T

$\begin{array}{l}T=24.43+53.73\ast L\\ -1.45\ast i+247.3\ast w\end{array}$

$\begin{array}{l}T=-0.71-39.8\ast L^2\\ +0.02\ast D^2+7.43\ast L\ast D\\ +107.31\ast L-1.3\ast D\end{array}$

$\begin{array}{l}T=-217.12+23.23\ast e^L\\ -6.67\ast e^i+239.17\ast e^w\end{array}$

Dump road uphill

1

Multiple R

R

0.901037479

0.901422382

0.901034437

2

R Square

R²

0.811868539

0.812562311

0.811863057

3

Standard Error

E

4.806587274

4.797716463

4.806657299

4

Observations

n

34

34

34

5

Regression model

T

$\begin{array}{l}T=257.62+90.9\ast L\\ -1.38\ast i-1000.9\ast w\end{array}$

$\begin{array}{l}T=-25287.04-256924.76\ast L^2\\ -1.03\ast D^2+570.85\ast L\ast D\\ +160942.16\ast L-156.76\ast D\end{array}$

$\begin{array}{l}T=976.09+64.96\ast e^L\\ -0.02\ast e^i-859.8\ast e^w\end{array}$

Dump road

1

Multiple R

R

0.807370366

0.795962535

0.803396018

2

R Square

R²

0.651846908

0.633556357

0.645445161

3

Standart Error

E

4.785962235

4.910070586

4.829763306

4

Observations

n

34

34

34

5

Regression model

T

$\begin{array}{l}T=254.87+72.88\ast L\\ -1457.53\ast w\end{array}$

$\begin{array}{l}T=6385.91-212.3\ast L^2\\ +250973.44\ast W^2-762.51\ast L\\ +6645.97\ast L\ast W-80170.28\ast W\end{array}$

$\begin{array}{l}T=1461.95+48.11\ast e^L\\ -1264.04\ast e^w\end{array}$