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Title: Regression, Prediction, and Model Building
Url: http://www.nyx.net/~tmacfarl/STAT_TUT/reg_sion.ssi
Creator: MacFarland, Thomas W.
Publisher: Nova Southeastern University
Description: This tutorial, created by Thomas W. McFarland of Nova Southeastern University, explains the theory and use of multiple regression and demonstrates it with an example on SAT scores and GPA. Data sets are provided in both SPSS and Minitab code. This is a good resource for both students and teachers interested in a more in-depth study of statistics.
LC Classification: Science -- Mathematics -- Mathematical statistics -- Analysis of variance and covariance. Experimental design
Science -- Mathematics -- Mathematical statistics -- Analysis of variance and covariance. Experimental design -- Prediction analysis
Science -- Mathematics -- Mathematical statistics -- Multivariate analysis
Science -- Mathematics -- Mathematical statistics -- Multivariate analysis -- Regression analysis. Correlation analysis
Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research
Science -- Mathematics -- Probabilities -- Study and teaching. Research
Social sciences -- Social sciences (General) -- Theory. Method. Relation to other subjects -- Mathematics. Mathematical models
GEM Subject: Mathematics -- Statistics
Mathematics -- Probability
Key Concept: Mathematics -- Correlation
Mathematics -- Probability
Mathematics -- Statistics
Date Issued: 1998
Resource Type: Reference Material
Instructional Material
Instructional Material -- Lesson/Lesson Plan
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: Dr. Thomas W. MacFarland
Access Rights: Free access
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Source: CAUSEweb
Full Record Views: 9
Resource URL Clicks: 8
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