The number of victories (W), earned run average (ERA), runsscored (R), batting average (AVG), and on-base percentage (OBP) foreach team in the American League in the 2012 season are provided inthe following table. The ERA is one measure of the effectiveness ofthe pitching staff, and a lower number is better. The otherstatistics are measures of effectiveness of the hitters, and highernumbers 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 thenumber of victories based on the ERA.

Develop a regression model that could be used to predict thenumber of victories based on the runs scored.

Develop a regression model that could be used to predict thenumber of victories based on the batting average.

Develop a regression model that could be used to predict thenumber of victories based on the on-base percentage.

Which of the four models is better for predicting the number ofvictories?

Develop a regression model that could be used to predict thenumber of victories based on the ERA, runs scored, batting average,on-base percentage

Develop the best regression model that can be used to predictthe number of victories

Discuss the accuracy of the regression model you developed insection g, and the significance of independent variables