2:4-31 The number of victories (W), earned run average (ERA), runs scored (R), batting average (AVG), and on-base percentage (OBP) for each team in the American League in the 2012 season are provided in the following table. The ERA is one measure of the effectiveness of the pitching staff, and a lower number is better. The other statistics are measures of the effectiveness of the hitters, and a higher number is better for each of these.
2:4-31 The number of victories (W), earned run average (ERA), runs scored (R), batting average (AVG), and on-base percentage (OBP) for each team in the American League in the 2012 season are provided in the following table. The ERA is one measure of the effectiveness of the pitching staff, and a lower number is better. The other statistics are measures of the effectiveness of the hitters, and a higher number is better for each of these.
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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Transcribed Image Text:2:4-31 The number of victories (W), earned run average
(ERA), runs scored (R), batting average (AVG),
and on-base percentage (OBP) for each team in the
American League in the 2012 season are provided
in the following table. The ERA is one measure of
the effectiveness of the pitching staff, and a lower
number is better. The other statistics are measures of
the effectiveness of the hitters, and a higher number
is better for each of these.
Transcribed Image Text:DISCUSSION QUESTIONS AND PROBLEMS
161
TEAM
W
ERA
AVG
ОВР
Baltimore Orioles
93
3.90
712
0.247
0.311
Boston Red Sox
69
4.70
734
0.260
0.315
Chicago White Sox
85
4.02
748
0.255
0.318
Cleveland Indians
68 4.78 667 0.251
0.324
Detroit Tigers
88 3.75 726 0.268 0.335
Kansas City Royals
72 4.30 676 0.265 0.317
Los Angeles Angels
89 4.02 767 0.274 0.332
Minnesota Twins
66 4.77 701 0.260
0.325
New York Yankees
95 3.85 804
0.265
0.337
Oakland Athletics
94
3.48
713 0.238
0.310
Seattle Mariners
75 3.76 619 0.234
0.296
Tampa Bay Rays
90 3.19 697
0.240
0.317
Texas Rangers
93
3.99
808
0.273 0.334
Toronto Blue Jays 73 4.64 716
0.245 0.309
(a) Develop a regression model that could be used to
predict the number of victories based on the ERA.
(b) Develop a regression model that could be used
to predict the number of victories based on the
runs scored.
(c) Develop a regression model that could be used
to predict the number of victories based on the
batting average.
(d) Develop a regression model that could be used
to predict the number of victories based on the
on-base percentage.
(e) Which of the four models is better for predicting
the number of victories?
(f) Find the best multiple regression model to pre-
dict the number of wins. Use any combination of
the variables to find the best model.
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