Predictive Modelling of Undergraduate Student Intake - aair

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Applications of regression • Conversion of preferences to offers depends on both preference number and faculty • Model equation: • Results: logit(Y) = α + β 1 X 1 + β 2 X 2 + ε • 1 st and 5 th preferences are now treated differently • What happens if the split between local and non-local applicants changes for arts courses? AAIR Forum 2008 20 Anatoli Lightfoot – ANU
Model refinement • Iterative process • Add or remove variables and refit model • Examine model diagnostics • Compare to previous models • Rinse and repeat • Important to revisit basic assumptions • No! • Can we treat each preference as a separate observation? AAIR Forum 2008 21 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: Applications of regression • Conv
Page 23 and 24: Reliable models • Simple models a
Page 25 and 26: Detailed example - acceptance rates
Page 27 and 28: Detailed example - acceptance rates

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