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Find the most powerful predictor among the six independent variables using regression.
Create a regression model to predict winning percentage using all of the following data (BATTING through SAVES).
TEAM
WINNING %
PAYROLL
BATTING
HR
RUNS
RBI
ERA
SAVES
Anaheim
0.432
51,340,297
0.256
158
711
673
4.79
37
Arizona
0.617
70,046,818
0.277
216
908
865
3.77
42
Atlanta
0.636
79,256,599
0.266
197
840
791
3.65
45
Baltimore
0.481
75,443,363
0.279
203
851
804
4.77
33
Boston
0.58
72,330,656
0.278
176
836
808
4
50
Chicago White Sox
0.466
24,535,000
162
777
742
4.92
39
Chicago Cubs
0.414
55,419,648
0.257
189
747
717
5.27
32
Cincinnati
0.589
38,031,285
0.272
209
820
3.99
55
Cleveland
0.599
73,531,692
0.289
1009
960
4.91
46
Colorado
0.444
54,367,504
0.288
223
906
863
6.03
Detroit
0.429
36,954,666
0.261
212
704
5.22
Florida
0.395
14,650,000
0.263
128
691
655
4.9
Houston
56,389,000
0.267
168
823
784
3.84
48
Kansas City
0.398
16,557,000
0.282
151
856
800
5.35
29
Los Angeles
0.475
76,607,247
187
793
761
4.45
Milwaukee
0.46
42,976,575
0.273
165
815
5.08
40
Minnesota
0.394
15,845,000
0.264
105
686
643
5.03
34
Montreal
0.42
15,015,250
0.265
163
718
680
4.69
44
New York Yankees
0.605
91,990,955
193
900
855
4.16
New York Mets
0.595
71,510,523
181
853
814
4.27
49
Oakland
0.537
25,208,858
0.259
235
893
845
4.76
Philadelphia
30,441,500
0.275
161
841
797
4.93
Pittsburgh
0.484
23,682,420
171
775
735
4.35
San Diego
0.457
46,507,179
0.252
153
710
671
4.47
43
Seattle
0.488
45,351,254
0.269
244
859
825
5.25
San Francisco
0.531
45,991,934
0.271
188
872
828
4.71
St. Louis
46,337,129
0.262
194
809
763
38
Tampa Bay
0.426
37,860,451
0.274
145
772
728
5.06
Texas
0.586
80,801,598
0.293
230
945
897
5.07
47
Toronto
0.519
48,847,300
0.280
883
Which independent variable is the most powerful predictor, using the p-value as a guide?
1. Payroll 2. Saves 3. Era 4. Batting
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