In a bumper test, three test vehicles of each ofthree types of autos were crashed into a barrier at 5 mph, and the resulting damage was estimated. Crashes were from three angles: headbn, slanted, and rearend. The results are shown below. Research questions: Is the mean repair cost affected by crash type andror vehicle type? Are the observed effects [if any] large enough to be of practical importance (as opposed to statistical significance)? 5 rlph Collision Damage (5] Crash Type Goliath Varmint" Weasel. Head0n 190 1,700 2,250 1,418 1,656 1,6W 040 1, 550 1,710 Slant 1,458 1, 83'6 2,850 1,746 1,778 1,590 1,210 1,580 2,430 Rearend 71B 816 1,650 1,250 1,530 1,650 918 1, 246 1, 27"0 lb} Fill in the missing data. {Round your table of means values to 1 decimal place, SSand Fualues to 2 decimal places, MS values 1.0 3 decimal places, and pvalues to 4 decimal places.) Table of Means Factor 2 (Vehicle) Factor 1 (Angle) Goliath Varmint Heasel Total HeadOn Slant RearEnd Total TwpFactor AHOVA with Replication Source 55 d MS F Factor 1 (Angle) Factor 2 (Vehicle) Interaction Error Total pvalue (d) Perform Tukey multiple comparison tests. (Input the mean values within the input boxes of the first row and input boxes of the first column. Round your t-values and critical values to 2 decimal places and other answers to 3 decimal places.) Post hoc analysis for Factor 1: Tukey simultaneous comparison t-values (d.f. = 18) Rear - End Head-On Slant Rear - End Head-On Slant Critical values for experimentwise error rate; 0.05 0.01 Post hoc analysis for Factor 2:Post hoc analysis for Factor 2: Tukey simultaneous comparison t-values (d.f. = 18) Goliath Varmint Weasel Goliath Varmint Weasel critical values for experimentwise error rate: 0.05 0.01