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 $\begin{array}{l}T=254.87+72.88\ast L\\ -1457.53\ast w\end{array}$ $\begin{array}{l}T=6385.91-212.3\ast {L}^{2}\\ +250973.44\ast {W}^{2}-762.51\ast L\\ +6645.97\ast L\ast W-80170.28\ast W\end{array}$ $\begin{array}{l}T=1461.95+48.11\ast {e}^{L}\\ -1264.04\ast {e}^{w}\end{array}$