Regression Analysis The objective of this paper is to use stats about pitching and batting in order to
Regression Analysis
The objective of this paper is to use stats about pitching and batting in order to attempt to predict the number of games a team wins.
The following variables will be considered in the analysis:
- Results: Win or Loss ( Dependent variable )
-
Pitching
- ERA – Earned Runs Average
- R - Runs
- SO – Strike Outs
- P/AVG – Pitching Average
- WHIP – Walks and Hits per Innings Pitched
- WPCT – Win Percentage
- OBP – On Base Percentage
- K/BB – Pitchers Strikeout to Walk
- OPP BA – Opposing Team Batting Average
-
Batting:
- H - Hits
- HR - Home Runs
- RBI - Runs Batted In
- B/AVG – Batting Average
- OBP – On Base Percentage
- SLG– Slugging Percentage
- OPS – On Base + Slugging
- HBP– Hit By Pitch
The following regression results are obtained using all of the variables, as a first approach:
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Solution: The downloadable solution consists of 6 pages, 491 words and 5 charts.
Deliverable: Word Document
Deliverable: Word Document
