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 pa E Click the icon to view the Major League Baseball data a. Construct and examine the correlation matrix. Is multicollinearity a potential problem? Earned Run Strike Won Runs Hits Walks Average Outs Won Runs Hits Earned Run Average Strike Outs Walks (Type integers or decimals rounded to three decimal places as needed)
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 pa E Click the icon to view the Major League Baseball data a. Construct and examine the correlation matrix. Is multicollinearity a potential problem? Earned Run Strike Won Runs Hits Walks Average Outs Won Runs Hits Earned Run Average Strike Outs Walks (Type integers or decimals rounded to three decimal places as needed)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text: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.
a. Construct and examine the correlation matrix. Is multicollinearity a potential problem?
Earned Run
Strike
Won
Runs
Hits
Walks
Average
Outs
Won
Runs
Hits
Earned Run
Average
Strike Outs
Walks
(Type integers or decimals rounded to three decimal places as needed.)

Transcribed Image Text:Won Runs
Hits
Earned Run
Strike
Walks
Average
Outs
65
713
1366
4.81
1519
589
91
738
1411
3.56
1140
634
66
613
1440
4.59
1056
424
89
819
1511
4.19
1140
587
75
685
1414
4.18
1226
479
88
752
1467
4.09
922
467
91
791
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
1226
546
94
782
1521
3.95
967
559
79
656
1361
3.70
1095
502
95
858
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
800
787
1343
3.78
1282
672
90
1556
3.93
986
511
85
755
1364
4.22
1164
471
69
655
1355
4.13
1230
503
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