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

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
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ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
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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
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