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. LOADING... Click the icon to view the Major League Baseball data. Question content area bottom Part 1 a. Construct and examine the correlation matrix. Is multicollinearity a potential problem? Won Runs Hits Earned Run Average Strike Outs Walks Won enter your response here Runs enter your response here enter your response here Hits enter your response here enter your response here enter your response here Earned Run Average enter your response here enter your response here enter your response here enter your response here Strike Outs enter your response here enter your response here enter your response here enter your response here enter your response here Walks enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here (Type integers or decimals rounded to three decimal places as needed.) Won Runs Hits Earned Run Average Strike Outs Walks 65 713 1366 4.81 1527 589 91 738 1411 3.56 1140 634 66 613 1440 4.59 1056 424 89 820 1511 4.19 1140 587 75 685 1414 4.18 1234 479 88 752 1467 4.09 922 467 91 795 1515 4.01 1218 522 69 646 1362 4.30 1184 545 83 770 1452 4.14 1274 585 81 751 1515 4.30 1147 546 80 719 1403 4.08 1375 514 76 611 1348 4.09 1025 415 67 676 1534 4.97 905 471 80 681 1363 4.04 1070 466 80 667 1368 4.01 1184 533 77 750 1471 4.58 1214 546 94 780 1521 3.95 967 559 79 656 1361 3.70 1095 502 95 855 1485 4.06 1136 662 81 663 1396 3.56 1061 527 97 772 1451 3.67 1064 560 57 587 1303 5.00 1207 463 90 665 1338 3.39 1183 538 92 697 1411 3.36 1099 487 61 513 1274 3.93 1184 459 86 736 1456 3.57 1027 541 96 801 1343 3.78 1293 672 90 787 1556 3.93 986 511 85 755 1364 4.22 1164 471 69 655 1355 4.13 1221 503
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. LOADING... Click the icon to view the Major League Baseball data. Question content area bottom Part 1 a. Construct and examine the correlation matrix. Is multicollinearity a potential problem? Won Runs Hits Earned Run Average Strike Outs Walks Won enter your response here Runs enter your response here enter your response here Hits enter your response here enter your response here enter your response here Earned Run Average enter your response here enter your response here enter your response here enter your response here Strike Outs enter your response here enter your response here enter your response here enter your response here enter your response here Walks enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here (Type integers or decimals rounded to three decimal places as needed.) Won Runs Hits Earned Run Average Strike Outs Walks 65 713 1366 4.81 1527 589 91 738 1411 3.56 1140 634 66 613 1440 4.59 1056 424 89 820 1511 4.19 1140 587 75 685 1414 4.18 1234 479 88 752 1467 4.09 922 467 91 795 1515 4.01 1218 522 69 646 1362 4.30 1184 545 83 770 1452 4.14 1274 585 81 751 1515 4.30 1147 546 80 719 1403 4.08 1375 514 76 611 1348 4.09 1025 415 67 676 1534 4.97 905 471 80 681 1363 4.04 1070 466 80 667 1368 4.01 1184 533 77 750 1471 4.58 1214 546 94 780 1521 3.95 967 559 79 656 1361 3.70 1095 502 95 855 1485 4.06 1136 662 81 663 1396 3.56 1061 527 97 772 1451 3.67 1064 560 57 587 1303 5.00 1207 463 90 665 1338 3.39 1183 538 92 697 1411 3.36 1099 487 61 513 1274 3.93 1184 459 86 736 1456 3.57 1027 541 96 801 1343 3.78 1293 672 90 787 1556 3.93 986 511 85 755 1364 4.22 1164 471 69 655 1355 4.13 1221 503
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
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.
LOADING...
Question content area bottom
Part 1
a. Construct and examine the correlation matrix. Is multicollinearity a potential problem?
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Won
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Runs
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Hits
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Earned Run Average
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Strike Outs
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Walks
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Won
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Runs
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enter your response here
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Hits
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enter your response here
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enter your response here
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enter your response here
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Earned Run Average
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enter your response here
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enter your response here
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enter your response here
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enter your response here
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Strike Outs
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enter your response here
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enter your response here
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enter your response here
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enter your response here
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enter your response here
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Walks
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enter your response here
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enter your response here
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enter your response here
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enter your response here
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enter your response here
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enter your response here
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(Type integers or decimals rounded to three decimal places as needed.)
Won Runs Hits Earned Run Average Strike Outs Walks
65 713 1366 4.81 1527 589
91 738 1411 3.56 1140 634
66 613 1440 4.59 1056 424
89 820 1511 4.19 1140 587
75 685 1414 4.18 1234 479
88 752 1467 4.09 922 467
91 795 1515 4.01 1218 522
69 646 1362 4.30 1184 545
83 770 1452 4.14 1274 585
81 751 1515 4.30 1147 546
80 719 1403 4.08 1375 514
76 611 1348 4.09 1025 415
67 676 1534 4.97 905 471
80 681 1363 4.04 1070 466
80 667 1368 4.01 1184 533
77 750 1471 4.58 1214 546
94 780 1521 3.95 967 559
79 656 1361 3.70 1095 502
95 855 1485 4.06 1136 662
81 663 1396 3.56 1061 527
97 772 1451 3.67 1064 560
57 587 1303 5.00 1207 463
90 665 1338 3.39 1183 538
92 697 1411 3.36 1099 487
61 513 1274 3.93 1184 459
86 736 1456 3.57 1027 541
96 801 1343 3.78 1293 672
90 787 1556 3.93 986 511
85 755 1364 4.22 1164 471
69 655 1355 4.13 1221 503
65 713 1366 4.81 1527 589
91 738 1411 3.56 1140 634
66 613 1440 4.59 1056 424
89 820 1511 4.19 1140 587
75 685 1414 4.18 1234 479
88 752 1467 4.09 922 467
91 795 1515 4.01 1218 522
69 646 1362 4.30 1184 545
83 770 1452 4.14 1274 585
81 751 1515 4.30 1147 546
80 719 1403 4.08 1375 514
76 611 1348 4.09 1025 415
67 676 1534 4.97 905 471
80 681 1363 4.04 1070 466
80 667 1368 4.01 1184 533
77 750 1471 4.58 1214 546
94 780 1521 3.95 967 559
79 656 1361 3.70 1095 502
95 855 1485 4.06 1136 662
81 663 1396 3.56 1061 527
97 772 1451 3.67 1064 560
57 587 1303 5.00 1207 463
90 665 1338 3.39 1183 538
92 697 1411 3.36 1099 487
61 513 1274 3.93 1184 459
86 736 1456 3.57 1027 541
96 801 1343 3.78 1293 672
90 787 1556 3.93 986 511
85 755 1364 4.22 1164 471
69 655 1355 4.13 1221 503
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