Notice

Mark

Linear

Quadratic

Exponential

Bench road

1

Multiple R

R

0.978383333

0.971925706

0.978418247

2

R Square

R²

0.957233945

0.944639578

0.957302266

3

Standard Error

E

3.259765985

4.122102196

3.254763857

4

Observations

n

102

102

102

5

Regression model

T

$\begin{array}{l}T=23.47+107.44\ast L\\ +0.059\ast i-238.17\ast w\end{array}$

$\begin{array}{l}T=42.88+39.7\ast L^2\\ +0.18\ast D^2+18.13\ast L\ast D\\ -109.44\ast L-5.82\ast D\end{array}$

$\begin{array}{l}T=101.37+66.31\ast e^L\\ +0.0004\ast e^i-147.25\ast e^w\end{array}$

Ramp

1

Multiple R

R

0.948316493

0.924445685

0.948314643

2

R Square

R²

0.899304171

0.854599825

0.899300661

3

Standard Error

E

3.99627532

4.003756713

3.996362388

4

Observations

n

46

46

46

5

Regression model

T

$\begin{array}{l}T=-5+64.74\ast L\\ -0.29\ast i+52.44\ast w\end{array}$

$\begin{array}{l}T=232.49-584.97\ast L^2\\ +2.34\ast D^2-136.72\ast L\\ \ast D+84.1\ast D\end{array}$

$\begin{array}{l}T=-100.56+70.26\ast e^L\\ -4064.02\ast e^i+49.23\ast e^w\end{array}$

Surface

1

Multiple R

R

0.993477756

0.991812291

0.993478402

2

R Square

R²

0.986998051

0.98369162

0.986999336

3

Standard Error

E

3.380615642

3.786142721

3.380448564

4

Observations

n

56

56

56

5

Regression model

T

$\begin{array}{l}T=28.7+39.94\ast L\\ -1.42\ast i+65.22\ast w\end{array}$

$\begin{array}{l}T=-21.46-45.38\ast L^2\\ -0.48\ast D^2+1.62\ast L\ast D\\ +117.98\ast L+5.45\ast D\end{array}$

$\begin{array}{l}T=-34.25+17.25\ast e^L\\ -6.12\ast e^i+62.36\ast e^w\end{array}$

Dump road downhill

1

Multiple R

R

0.794361298

0.80374

0.794363088

2

R Square

R²

0.631009871

0.646002716

0.631012716

3

Standard Error

E

2.161998317

2.154490499

2.161989982

4

Observations

n

34

34

34

5

Regression model

T

$\begin{array}{l}T=-214.9+818.18\ast L\\ -0.29\ast i-213.16\ast w\end{array}$

$\begin{array}{l}T=+578.552-13619.0271\ast L^2\\ -0.168448\ast D^2+288.4464\ast L\ast D\\ +2913.8509\ast L-95.6335\ast D\end{array}$

$\begin{array}{l}T=-510.78+584.69\ast e^L\\ -1334.16\ast e^i-228.95\ast e^w\end{array}$

Dump road

1

Multiple R

R

0.534138299

0.570484006

0.549175541

2

R Square

R²

0.285303722

0.325452001

0.301593775

3

Standard Error

E

3.891124185

3.780252076

3.84652343

4

Observations

n

34

34

34

5

Regression model

T

$\begin{array}{l}T=90.43+27.75\ast L\\ -206.13\ast w\end{array}$

$\begin{array}{l}T=-1040.43+448.69\ast L^2\\ -16221.3\ast W^2+1304.72\ast L\\ -8663.95\ast L\ast W+9209.55\ast W\end{array}$

$\begin{array}{l}T=251.1+18.93\ast e^L\\ -179.52\ast e^w\end{array}$