2. Construct a multiple regression analysis of the following dataset, showing the full regression equation and explanation of each predictor variables. Use X1, X2, X3 and X4 to predict X5. X1 X2 X3 X4 X5 8 78 284 9.1 109 9.3 68 433 8.7 144 7.5 70 739 7.2 113 8.9 96 1792 8.9 97 10.2 74 477 8.3 206 8.3 111 362 10.9 124 8.8 77 671 10 152 8.8 168 636 9.1 162 10.7 82 329 8.7 150 11.7 89 634 7.6 134 8.5 149 631 10.8 292 8.3 60 257 9.5 108 8.2 96 284 8.8 111 7.9 83 603 9.5 182 10.3 130 686 8.7 129 7.4 145 345 11.2 158 9.6 112 1357 9.7 186 9.3 131 544 9.6 177 10.6 80 205 9.1 127 9.7 130 1264 9.2 179 11.6 140 688 8.3 80 8.1 154 354 8.4 103 9.8 118 1632 9.4 101 7.4 94 348 9.8 117 9.4 119 370 10.4 88 11.2 153 648 9.9 78 9.1 116 366 9.2 102