Predictive Modelling of Undergraduate Student Intake - aair

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That’s it for the hard stuff So why use regression to model student intake? • You may already be using it! • Large body of knowledge exists • Ideally suited to large admissions datasets • Can provide confidence in predictions, not just an unqualified number! AAIR Forum 2008 16 Anatoli Lightfoot – ANU
Applications of regression • Many and varied • I will discuss just two: • Predicting enrolments from TAC preferences • Predicting enrolments from simulated TAC offers AAIR Forum 2008 17 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: Predictions • Model is fit on obs
Page 19 and 20: Applications of regression • Conv
Page 21 and 22: Model refinement • Iterative proc
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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