Linear Model Extensions

Craig Starbuck ()

A chapter in The Fundamentals of People Analytics, 2023, pp 207-221 from Springer

Abstract: Abstract This chapter covers methods of extending the linear regression model for mixed effects, non-linear relationships, and use cases that involve examining changes to variable and model-level performance with stepwise variable selection procedures. Comparing and interpreting coefficients across multiple models is also discussed.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-28674-2_11

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DOI: 10.1007/978-3-031-28674-2_11

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