Predictive Modelling of Undergraduate Student Intake - aair

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Limitations of regression • There are times when it is not appropriate • Very small datasets can cause problems • Some datasets require specialised techniques • Time series analysis • Some datasets t simply resist analysis • Other methods available – eg. non-parametric statistics AAIR Forum 2008 24 Anatoli Lightfoot – ANU
Detailed example – acceptance rates • Model based on historical UAC data (3 years) • Basic observations are individual offers • Observations are grouped • Response is proportion of acceptances • Each group is weighted when fitting model AAIR Forum 2008 25 Anatoli Lightfoot – ANU
Page 1 and 2: Predictive Modelling of Undergradua
Page 3 and 4: Why is this important? • Load man
Page 5 and 6: Things this presentation does not c
Page 7 and 8: Regression • Relationship between
Page 9 and 10: The regression equation - example
Page 11 and 12: The regression equation • The ε
Page 13 and 14: Transformations • The variables u
Page 15 and 16: Predictions • Model is fit on obs
Page 17 and 18: Applications of regression • Many
Page 19 and 20: Applications of regression • Conv
Page 21 and 22: Model refinement • Iterative proc
Page 23: Reliable models • Simple models a
Page 27 and 28: Detailed example - acceptance rates

Predictive Modelling of Undergraduate Student Intake - aair

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