Repeat Exercise 11.16, but this time regress the logarithm of expenditure on food on the logarithm of total expenditure. If you observe heteroscedasticity in the linear model of Exercise 11.16 but not in the log€“linear model, what conclusion do you draw? Show all the necessary calculations.

VOL Observation MPG SP WT Observation MPG SP HP VOL WT 17.5 20.0 106 30.0 30.0 65.4 96 49 89 42 32.2 106 95 102 56.0 97 55 92 43 32.2 109 92 55.9 49.0 46.5 46.2 3 97 55 92 20.0 20.0 44 32.2 106 95 88 30.0 105 70 92 45 31.5 105 93 102 30.0 31.5 31.4 100 100 5 96 53 92 20.0 20.0 20.0 22.5 46 108 99 30.0 105 70 89 47 108 111 30.0 45.4 97 55 92 48 31.4 107 98 103 30.0 120 109 109 130 115 115 59.2 98 62 50 49 31.2 86 30.0 101 101 35.0 53.3 98 62 50 22.5 50 33.7 107 94 10 43.4 80 22.5 51 32.6 35.0 31.3 109 11 41.1 103 73 89 22.5 52 115 115 101 35.0 12 40.9 113 92 50 22.5 53 31.3 109 124 35.0 92 13 40.9 113 103 99 22.5 54 30.4 133 180 113 35.0 35.0 125 14 40.4 73 89 22.5 55 28.9 160 113 28.0 15 39.6 100 66 89 22.5 56 115 130 124 35.0 39.3 103 38.9 106 38.8 113 22.5 102 96 109 115 35.0 35.0 16 73 89 57 28.0 92 17 78 91 22.5 58 28.0 101 18 92 50 22.5 59 28.0 104 100 94 35.0 105 100 145 19 38.2 106 78 91 22.5 60 28.0 115 35.0 20 42.2 109 90 103 25.0 25.0 25.0 61 27.7 120 111 35.0 21 40.9 110 92 99 62 25.6 107 120 116 40.0 22 40.7 101 74 107 63 25.3 114 140 131 40.0 23 40.0 111 95 101 25.0 64 23.9 114 140 123 40.0 105 111 110 110 150 165 24 39.3 81 96 25.0 65 23.6 117 121 40.0 25.0 66 25 38.8 95 89 23.6 122 50 40.0 122 122 26 38.4 92 50 25.0 67 23.6 165 114 40.0 127 27 38.4 92 117 25.0 68 23.6 165 40.0 165 245 280 28 38.4 110 92 99 25.0 69 23.6 122 123 40.0 90 52 148 29 46.9 104 27.5 70 23.5 112 40.0 30 36.3 112 103 36.1 103 103 107 27.5 71 23.4 160 50 40.0 84 31 36.1 114 27.5 72 23.4 121 162 135 40.0 23.1 22.9 121 162 110 140 32 84 101 27.5 73 132 40.0 27.5 33 35.4 111 102 97 74 160 45.0 110 34 35.3 111 102 113 27.5 75 22.9 140 129 45.0 35 35.1 102 81 101 27.5 76 19.5 121 175 129 45.0 18.1 36 35.1 106 90 98 27.5 77 165 322 50 45.0 27.5 30.0 17.2 37 35.0 106 90 88 78 140 238 115 45.0 38 33.2 109 102 86 79 17.0 147 263 50 45.0 102 157 39 32.9 109 86 30.0 80 16.7 295 119 45.0 120 30.0 40 32.3 130 92 81 13.2 130 236 107 55.0 41 32.2 106 95 113 30.0