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Title: Data Management, EDA, and Regression Analysis with 1969-2000 Major League Baseball Attendance
Url: http://jse.amstat.org/v10n2/datasets.cochran.html
Creator: Cochran, James J.
Publisher: American Statistical Association
Louisiana Tech University
Description: This article, created by James J. Cochran of Louisiana Tech University, describes a dataset containing Major League Baseball data from seasons 1969 through 2000 and illustrates how this data can be used as a course long project covering basic data management, the use of exploratory data analysis to "clean" data, and construction of regression models. The set contains data such as: runs scored, runs allowed, wins, losses, number of games behind the division leader and attendance. This is a great lesson for anyone interested in the statistics of baseball. The data is in .dat format.
LC Classification: Geography. Anthropology. Recreation -- Recreation. Leisure -- Recreation. Leisure -- Sports -- Ball games -- Baseball
Science -- Mathematics -- Mathematical statistics -- Addresses, essays, lectures
Science -- Mathematics -- Mathematical statistics -- Multivariate analysis -- Regression analysis. Correlation analysis
Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research
GEM Subject: Mathematics -- Statistics
Key Concept: Mathematics -- Correlation
Mathematics -- Statistics
Date Issued: 2002
Resource Type: Dataset
Reference Material
Instructional Material
Instructional Material -- Instructor Guide/Manual
Format: Document -- HTML
Audience: Educator
Learner
Education Level: Higher Education
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education
Language: English
Rights: James J. Cochran
Access Rights: Free access
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Source: CAUSEweb
Full Record Views: 12
Resource URL Clicks: 12
Cumulative Rating: NOT YET RATED
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