Please answer the following questions using the data set and the regression summary outputs. The first one is for question #10 and the second one is for question #11

Editor Styles Voice Sensitivity For questions 10 and 11, consider the variables Revenue, Material, and Labor all together at the same time. For these two questions, use ONLY these three variables. (Make sure to include units in your answers and round all answers to 2-decimal places) Reuse 10. On average, for each dollar of material cost, how much does a product's revenue increase, and for each dollar of labor cost, how much does a product's revenue increase? (In each case holding the other variables constant) Average increase in revenue per added dollar of material: Average increase in revenue per added dollar of labor: 11. Now consider only Product A separately and answer Question-10 again. So for Product A only, on average, for each dollar of Material cost, how much does the product's Revenue increase, and for each dollar of Labor cost, how much does the product's Revenue increase? (In each case holding the other variables constant) Average increase in revenue per added dollar of material: Average increase in revenue per added dollar of labor: Profit A B E 1 Produot Plant Material Labor Revenue 2 A 2 $ 764 $ 287 $1,420 3 A 2 $ 564 $ 223 $ 1175 4 A 1 $ 553 $ 239 $1296 5 A 1 $ 658 $ 206 $1270 6 8 2 $ 574 $ 278 $ 1347 7 A 2 $ 791 $ 204 $1,532 8 A 1 $ 632 $ 291 $1486 9 A 2 $ 544 $ 211 $ 1271 10 A 1 $ 792 $ 259 1685 11 A 2 $ 615 $ 228 $1.429 12 A 1 $ 760 $ 219 $ 1.602 13 A 2 $ 537 $ 230 $ 1,207 14 A 2 $ 522 $ 298 $ 1.211 15 A 2 $ 762 $ 264 $1.466 16 2 $ 767 $ 274 $ 1.469 17 A 2 $ 631 $ 217 $1297 18 A 2 $ 573 $ 260 $ 1251 19 A 2 $ 614 $ 236 $1,337 20 A 2 $ 606 $ 242 $1,235 21 1 $ 558 $ 229 $1226 22 A 2 $ 595 $ 271 $ 1.257 23 1 $ 785 $ 273 $ 1584 24 A 1 $ 674 $ 278 $ 1,445 25 A 1 $ 576 $ 247 $ 1,285 26 A 2 $613 $ 234 $1,202 27 A 2 $ 551 $ 229 $1,377 28 A 2 $ 735 $ 213 $ 1,308 29 A 1 $ 613 $ 247 $ 1217 30 A $ 660 $ 248 $ 1283 31 A $ 666 $ 218 1,326 32 A $ 747 $ 225 $1,539 33 A $ 683 $ 287 $ 1527 34 B $ 785 $286 $ 1683 35 B 2 $ 647 $ 296 $ 1322 36 B 1 $ 670 $ 248 $ 1,433 37 B 2 $ 735 $ 251 $ 1,422 38 B 2 $551 $ 294 $ 1,189 39 B 1 $ 895 $ 254 $ 1,415 40 B 1 $ 643 $ 280 $ 1,267 41 B 2 $771 $ 293 $ 1,617 42 B 1 $552 $ 233 $ 1,209 43 B 2 $ 521 $ 238 $ 1,257 44 B 2 $ 713 $ 216 $1,327 45 B 2 $ 606 $ 221 $ 1,330 46 B 2 $ 742 $ 293 $ 1,664 47 B 2 $ 837 $ 259 $ 1,409 49 B 1 $1801 $ 281 $ 1440 49 B 2 $ 570 $ 294 $ 1,362 50 B 2 $ 751 $ 219 $ 1,454 51 B 1 $ 747 $ 249 $ 1413 NNNNN 52 53 54 55 56 57 58 59 60 W 00 00 00 00 00 00:00:00 2 1 2 2 2 2 1 2 2 1 B B B B B B B B B B B 1 2 2 2 1 1 1 1 1 70 71 72 73 74 75 76 77 78 79 $ 588 $ 242 $ 1,219 $ 268 $ 1,452 $648 $ 202 $ 1,389 $ 780 $ 290 $ 1491 $ 676 $ 265 $ 1,481 $ 265 $ 1328 $ 221 $ 1,477 $ 611 $ 240 $ 1262 $ 751 $ 274 $ 1682 $ 788 $ 218 $ 1,560 $ 530 $ 238 $ 1,287 $578 $ 212 $ 1389 $ 719 $ 209 $ 1443 $ 516 $ 275 $ 1276 586 $ 208 $ 1303 $ 615 $ 284 $ 1464 $ 681 $ 298 $ 1560 $ 667 $ 200 $ 1172 $ 790 $ 299 $ 1,673 $ 824 $ 251 $ 1655 $ 841 $ 203 $ 1,484 $ 649 $ 294 $1,434 $ 588 $ 294 $ 1257 $ 821 $ 221 $ 1476 $ 866 $ 259 $ 1582 $ 723 $ 275 $ 1358 $ 664 $ 202 $ 1352 $ 571 $ 278 $ 1270 $ 839 $ 288 $ 1,535 $ 830 $ 205 $ 1503 $ 738 $ 200 $ 1335 $ 646 $ 217 $ 1422 $ 716 $ 255 $ 1,455 $ 849 $289 $ 1540 $ 589 $268 $ 1,483 $ 743 $ 260 $ 1486 $ 741 $ 290 $ 1,655 $ 822 $ 207 $1,659 $ 841 $ 205 $ 1670 $ 637 $ 211 $ 1156 $ 692 $ 256 $ 1546 $ 779 $ 255 $ 1.418 $ 611 $ 250 $ 1190 $ 784 $ 231 $ 1.486 $ 711 $ 279 $ 1,592 $ 699 $ 244 $ 1.402 $ 819 $288 $1529 $ 580 $ 249 $ 1291 $ 890 $ 236 $ 1,666 $ 591$ 231 $ 1352 C 1 2 1 1 1 1 2 2 2 2 1 2 1 1 1 1 81 82 83 84 85 86 87 88 89 90 91 92 93 94 35 96 97 98 99 100 101 0.00 0.00 0.00 2 1 2 2 2 1 1 2 1 1 2 1 2 SUMMARY OUTPUT Fazesviv Status Multiple R 0.79808059 R Square 0.636932629 Adjusted R Square 0.629446704 Standard Error 87.49153857 Observations 100 ANOVA Szcane F 85.08402286 4.56436E-22 Regression Residual Total 2 1302597.14 651299 97742512.624 7654.77 99 2045109.76 Intercept Material Labor Chefiver's R22JEM Sat 376.0934958 95.03676 3.95735 1157148299 0.0925131 12.5079 0.989923476 0.28902265 3.42507 F-value Lower 95% cer ser acer 25.02 0.000144377 187.4718347 565 187 564.7152 6.0157E-22 0.973535408 13 1 1.340761 0.000902405 0.416293528 1.6 0.4 1563553 SUMMARY OUTPUT 527 Viva Stasies Multiple R 0.810240617 R Square 0.656489858 Adjusted R Square 0.632799503 Standard Error 83.22607745 Observations 32 ANOVA F Shpificare 27.71127185 1.86691E-07 Regression Residual Total MS 2 383888.681 191944 29 200870.819 6926.58 31 584759.5 Intercept Material Labor Loeffievers archard Em Star . 350.755209 170.257444 2.06015 1.244633927 0.17320538 7.18589 0.83474145 0.54449219153306 Royale Lower 95% er Serger 50% 0.048457879 2.53963692 699 2.5 698.9708 6.55014E-08 0.890389159 1.6 0.9 1598879 0.136098168 -0.278870118 1.9 -0.3 1948353