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 $\begin{array}{l}T=90.43+27.75\ast L\\ -206.13\ast w\end{array}$ $\begin{array}{l}T=-1040.43+448.69\ast {L}^{2}\\ -16221.3\ast {W}^{2}+1304.72\ast L\\ -8663.95\ast L\ast W+9209.55\ast W\end{array}$ $\begin{array}{l}T=251.1+18.93\ast {e}^{L}\\ -179.52\ast {e}^{w}\end{array}$