Question

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 effectiveness of the hitters, and higher numbers are better for each of these. W ERA R AVG OBP Team 1 93 3.9 712 0.247 0.311 Team 2 69 4.7 734 0.26 0.315 Team 3 85 4.02 748 0.255 0.318 Team 4 68 4.78 667 0.251 0.324 Team 5 88 3.75 726 0.268 0.335 Team 6 72 4.3 676 0.265 0.317 Team 7 89 4.02 767 0.274 0.332 Team 8 66 4.77 701 0.26 0.325 Team 9 95 3.85 804 0.265 0.337 Team 10 94 3.48 713 0.238 0.31 Team 11 75 3.76 619 0.234 0.296 Team 12 90 3.19 697 0.24 0.317 Team 13 93 3.99 808 0.273 0.334 Team 14 73 4.64 716 0.245 0.309 Develop a regression model that could be used to predict the number of victories based on the ERA. Develop a regression model that could be used to predict the number of victories based on the runs scored. Develop a regression model that could be used to predict the number of victories based on the batting average. Develop a regression model that could be used to predict the number of victories based on the on-base percentage. Which of the four models is better for predicting the number of victories? Develop a regression model that could be used to predict the number of victories based on the ERA, runs scored, batting average, on-base percentage Develop the best regression model that can be used to predict the number of victories Discuss the accuracy of the regression model you developed in section g, and the significance of independent variables

          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 effectiveness of the hitters, and higher
numbers are better for each of these.
W
ERA
R
AVG
OBP
Team 1
93
3.9
712
0.247
0.311
Team 2
69
4.7
734
0.26
0.315
Team 3
85
4.02
748
0.255
0.318
Team 4
68
4.78
667
0.251
0.324
Team 5
88
3.75
726
0.268
0.335
Team 6
72
4.3
676
0.265
0.317
Team 7
89
4.02
767
0.274
0.332
Team 8
66
4.77
701
0.26
0.325
Team 9
95
3.85
804
0.265
0.337
Team 10
94
3.48
713
0.238
0.31
Team 11
75
3.76
619
0.234
0.296
Team 12
90
3.19
697
0.24
0.317
Team 13
93
3.99
808
0.273
0.334
Team 14
73
4.64
716
0.245
0.309
Develop a regression model that could be used to predict the
number of victories based on the ERA.
Develop a regression model that could be used to predict the
number of victories based on the runs scored.
Develop a regression model that could be used to predict the
number of victories based on the batting average.
Develop a regression model that could be used to predict the
number of victories based on the on-base percentage.
Which of the four models is better for predicting the number of
victories?
Develop a regression model that could be used to predict the
number of victories based on the ERA, runs scored, batting average,
on-base percentage
Develop the best regression model that can be used to predict
the number of victories
Discuss the accuracy of the regression model you developed in
section g, and the significance of independent variables

Added by Sherri M.

Question

Please give Ace some feedback