A36 fx A G H 1 Won 585 so 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 NOSSONNNNNN B D Runs Hits Earned Run Average 65 713 1366 4.81 91 738 1411 3.56 66 613 1440 4.59 89 818 1511 4.19 75 685 1414 4.18 88 752 1467 4.09 91 790 1515 4.01 69 646 1362 4.3 83 770 1452 4.14 81 751 1515 4.3 80 719 1403 4.08 76 611 1348 4.09 67 676 1534 4.97 80 681 1363 4,04 80 667 1368 77 750 1471 4.58 94 781 1521 3.95 79 656 1361 3.7 95 859 1485 4.06 81 663 1396 3.56 97 772 1451 3.67 57 587 1303 5 90 665 1338 3.39 92 697 1411 3.36 61 513 1274 3.93 86 736 1456 3.57 96 BO2 1343 3.78 90 787 1556 3.93 85 755 1364 4.22 69 655 1355 4.13 E F Strike Outs Walks 1529 589 1140 634 1056 424 1140 587 1236 479 922 467 1218 522 1184 515 1274 1147 546 1375 514 1025 415 905 471 1070 466 1184 533 1216 546 967 559 1095 502 1136 662 1061 527 1064 560 1207 463 1183 538 1099 487 1184 459 1027 541 1292 672 986 511 1164 471 1220 4.01 1989 503 Column 3 Column 4 Column 5 Column 6 36 37 Column 1 38 Column 2 39 Column 3 40 Column 4 41 Column 5 42 Column 6 Column 1 Column 2 1 0.78481 1 0.446067 0.683632 -0.68184 -0.16312 -0.23233 0.000895 0.533133 0.677588 1 1 0.088043396 -0.416605321 0.206478487 0.1882687 -0.2406589 0.356533 43 The accompanying Major League Baseball data provide data for one season. Use the data to build a multiple regression model that predicts the number of wins. Complete parts a through c. Click the icon to view the Major League Baseball data. No, because none of the pairs of independent variables have correlation coefficients greater than 0.7. b. Suggest an appropriate set of independent variables that predict the number of wins by examining the correlation matrix. Use a critical value of 0.361 for the correlation coefficient. Select all that apply. A Hits B. Strike Outs C. Eamed Run Average D. Runs E. Walks c. Find the best multiple regression model for predicting the number of wins having only significant independent variables. How good is your model? Does it use the same variables you thought were appropriate in part b? Use a level of significance of 0.05. Determine the best multiple regression model. Let X, represent Runs, let X, represent Hits, let Xz represent Earned Run Average, let X represent Strike Outs, and let Xs represent Walks. Enter the terms of the equation so that the Xx-values are in ascending numeral order by base. Select the correct choice below and fill in the answer boxes within your choice. (Type integers or decimals rounded to three decimal places as needed.) O A. Won=++ Ox+x OB. Won= + + C + OC. Won= + + + OD. Won = + 0x E. Won = 1 + x + xy + x) A36 fx A G H 1 Won 585 so 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 NOSSONNNNNN B D Runs Hits Earned Run Average 65 713 1366 4.81 91 738 1411 3.56 66 613 1440 4.59 89 818 1511 4.19 75 685 1414 4.18 88 752 1467 4.09 91 790 1515 4.01 69 646 1362 4.3 83 770 1452 4.14 81 751 1515 4.3 80 719 1403 4.08 76 611 1348 4.09 67 676 1534 4.97 80 681 1363 4,04 80 667 1368 77 750 1471 4.58 94 781 1521 3.95 79 656 1361 3.7 95 859 1485 4.06 81 663 1396 3.56 97 772 1451 3.67 57 587 1303 5 90 665 1338 3.39 92 697 1411 3.36 61 513 1274 3.93 86 736 1456 3.57 96 BO2 1343 3.78 90 787 1556 3.93 85 755 1364 4.22 69 655 1355 4.13 E F Strike Outs Walks 1529 589 1140 634 1056 424 1140 587 1236 479 922 467 1218 522 1184 515 1274 1147 546 1375 514 1025 415 905 471 1070 466 1184 533 1216 546 967 559 1095 502 1136 662 1061 527 1064 560 1207 463 1183 538 1099 487 1184 459 1027 541 1292 672 986 511 1164 471 1220 4.01 1989 503 Column 3 Column 4 Column 5 Column 6 36 37 Column 1 38 Column 2 39 Column 3 40 Column 4 41 Column 5 42 Column 6 Column 1 Column 2 1 0.78481 1 0.446067 0.683632 -0.68184 -0.16312 -0.23233 0.000895 0.533133 0.677588 1 1 0.088043396 -0.416605321 0.206478487 0.1882687 -0.2406589 0.356533 43 The accompanying Major League Baseball data provide data for one season. Use the data to build a multiple regression model that predicts the number of wins. Complete parts a through c. Click the icon to view the Major League Baseball data. No, because none of the pairs of independent variables have correlation coefficients greater than 0.7. b. Suggest an appropriate set of independent variables that predict the number of wins by examining the correlation matrix. Use a critical value of 0.361 for the correlation coefficient. Select all that apply. A Hits B. Strike Outs C. Eamed Run Average D. Runs E. Walks c. Find the best multiple regression model for predicting the number of wins having only significant independent variables. How good is your model? Does it use the same variables you thought were appropriate in part b? Use a level of significance of 0.05. Determine the best multiple regression model. Let X, represent Runs, let X, represent Hits, let Xz represent Earned Run Average, let X represent Strike Outs, and let Xs represent Walks. Enter the terms of the equation so that the Xx-values are in ascending numeral order by base. Select the correct choice below and fill in the answer boxes within your choice. (Type integers or decimals rounded to three decimal places as needed.) O A. Won=++ Ox+x OB. Won= + + C + OC. Won= + + + OD. Won = + 0x E. Won = 1 + x + xy + x)
