Please help step by step for R program with a final code for understanding thank you. Problem#934. The Best Predictor of the Winning Percentage The ultimate goal in any sport (besides having fun) is to win. One measure ofhow well a team does is the winning percentage. In baseball, a lot of effort goes into figuring out the variable that best predictsa team's winning percentage. The following data represent the winning percentages of teams in the National League alongwith potential explanatory variables based on the 2007 season. Which variable do you think is the best predictor of winningpercentage? Why?TeamArizonaAtlantaChicago CubsCincinnatiColoradoFloridaHoustonLos AngelesMilwaukeeNew York MetsPhiladelphiaPittsburghSan DiegoSan FranciscoSt. LouisWashingtonSource: espn.comWinningPercentage Runs Scored Home Runs0.5560.5190.5250.4440.5220:4380.4510.5060.5120.5430.5490.4200.5460.4380.4810.451712810752783860790723735801804892724741683725673171176151204171201167129231177213148171131141123Team BattingAverage0.2500.2750.2710.2670.2800.2670.2600.2750.2620.2750.2740.2630.2510.2540.2740.256On-BasePercentage0.3210.3390.3330.3350.3540.3360.3300.3370.3290.3420.3540.3250.3220.3220.3370.325Batting Averageagainst Team0.2620.2590.2460.2820.2660.2850.2730.2610.2690.2550.276AFATARE0.2880.2500.2610.2710.269Team Earned-Run Average4.134.114.044.944.324.944.684.204.414.264.734.933.704.194.654.58

We can run a linear regression analysis on the data to find the potential explanatory variable that…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Please help step by step for R program with a final code for understanding thank you.

Problem#9
34. The Best Predictor of the Winning Percentage The ultimate goal in any sport (besides having fun) is to win. One measure of
how well a team does is the winning percentage. In baseball, a lot of effort goes into figuring out the variable that best predicts
a team's winning percentage. The following data represent the winning percentages of teams in the National League along
with potential explanatory variables based on the 2007 season. Which variable do you think is the best predictor of winning
percentage? Why?
Team
Arizona
Atlanta
Chicago Cubs
Cincinnati
Colorado
Florida
Houston
Los Angeles
Milwaukee
New York Mets
Philadelphia
Pittsburgh
San Diego
San Francisco
St. Louis
Washington
Source: espn.com
Winning
Percentage Runs Scored Home Runs
0.556
0.519
0.525
0.444
0.522
0:438
0.451
0.506
0.512
0.543
0.549
0.420
0.546
0.438
0.481
0.451
712
810
752
783
860
790
723
735
801
804
892
724
741
683
725
673
171
176
151
204
171
201
167
129
231
177
213
148
171
131
141
123
Team Batting
Average
0.250
0.275
0.271
0.267
0.280
0.267
0.260
0.275
0.262
0.275
0.274
0.263
0.251
0.254
0.274
0.256
On-Base
Percentage
0.321
0.339
0.333
0.335
0.354
0.336
0.330
0.337
0.329
0.342
0.354
0.325
0.322
0.322
0.337
0.325
Batting Average
against Team
0.262
0.259
0.246
0.282
0.266
0.285
0.273
0.261
0.269
0.255
0.276
AFATARE
0.288
0.250
0.261
0.271
0.269
Team Earned-
Run Average
4.13
4.11
4.04
4.94
4.32
4.94
4.68
4.20
4.41
4.26
4.73
4.93
3.70
4.19
4.65
4.58

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Step 1: Import the data into R

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Step 2: Fit a multiple linear regression model

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Step 3: Check the model summary

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Step 4: Identify the best predictor

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Follow-up Question

Please help step to step with R program with a final code for understanding thank you.

#
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
wP
0.556
0.519
0.525
0.444
0.522
0.438
0.451
0.506
0.512
0.543
0.549
0.42
0.546
0.438
0.481
0.451
rS
712
810
752
783
860
790
723
735
801
804
892
724
741
683
725
673
hR
obP
171
0.25 0.321 0.262
176
0.275
0.339
0.259
151
0.271
204
0.267
171
0.28
201 0.267
167
129
231
177
213
148
171
131
141
123
tbA
0.26
0.275
0.262
0.275
0.274
0.263
0.251
0.254
0.274
0.256
0.333
0.335
0.354
0.336
0.322
0.322
baaT
0.33
0.337
0.329
0.342
0.354
0.276
0.325 0.288
0.337
0.325
0.246
0.282
0.266
0.285
0.273
0.261
0.269
0.255
0.25
0.261
0.271
0.269
terA
4.13
4.11
4.04
4.94
4.32
4.94
4.68
4.2
4.41
4.26
4.73
4.93
3.7
4.19
4.65
4.58

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