AutoSave ( OFF ~ 9 9 . C ... cristian orozco HW3 Home Insert Draw Page Layout Formulas Data Review View Shape Format Tell me - " OFF Draw Eraser Lasso Add Pen Draw with Trackpad Select X V fx G H K M 1 Engine Size Compression Ratio Horsepower City MPG Highway MPG Price 97 9.0 59 31 36 5118 61 9.5 48 47 53 5151 The variables from column A through column H lists variables for 8 91 9.0 68 30 31 5195 different features of 194 used cars. Price is the dependent variable 92 62 35 39 Apply backward elimination method to select statistically significant 9.0 56 0 V G UI A W N 92 9.4 68 37 41 5389 dependent variables to create linear multiple regression model. Clearly 79 10.1 60 38 42 5399 state the p value of the variable you eliminate each step. You do not have to show the toolpak output for each step. You may use the 97 9.4 69 31 37 5499 90 9.4 68 37 41 following template: 5572 10 90 9.4 68 37 41 5572 91 9.0 68 31 38 6095 92 9.4 68 31 38 6189 90 9.4 68 31 38 6229 p value 90 9.4 68 31 38 5229 Step variable eliminated with largest p value 0.6048 90 9.6 70 38 43 5295 1 Length 92 9.0 62 31 38 6338 90 9.4 68 31 38 6377 92 9.6 58 49 54 6479 19 92 9.0 62 31 38 6488 20 92 9.2 76 30 34 6529 21 90 9.6 70 38 43 6575 22 97 9.4 69 31 37 6649 23 92 9.4 68 31 38 6669 24 90 9.4 68 31 38 6692 25 90 9.4 68 31 38 6692 26 91 9.0 68 31 38 6695 27 111 8.5 78 24 29 6785 28 91 9.0 68 31 38 6795 29 97 9.4 69 31 37 6849 30 92 9.2 76 31 38 6855 31 92 9.0 62 31 37 6918 32 98 9.0 70 30 37 6938 33 122 8.5 88 25 32 6989 34 108 8.7 73 26 31 7053 35 103 21.9 55 45 50 7099 36 108 9.5 82 32 37 7126 37 92 9.2 76 30 34 7129 38 98 9.0 70 30 37 7198 39 92 9.2 76 30 34 7295 40 92 9.2 76 30 34 7295 31 37 41 97 9.4 69 7299 42 97 9.4 69 31 37 7349 91 9.0 58 31 38 43 7395 44 108 90 7463 Instructions (1) (2) (3) + D Ready