Applying a Compensatory Approach to Selection Decisions Using Multiple Linear Regression in R

This tutorial demonstrates how to apply a compensatory approach to making selection decisions using estimates from a multiple linear regression model. I demonstrate how to estimate a multiple linear regression model using the Regression function from the lessR package, and how to reference elements of the model output to construct an equation in which future applicant scores on the selection tools can be applied.
For a more extensive tutorial on multiple linear regression model interpretation, please refer to the following tutorial: • Evaluating Incremental...
Other videos from my "R for Beginners" playlist can be found here: • R for Beginners . The videos in this playlist focus on simulated human resources (HR) data.
The data file(s) referenced in this R tutorial (and other R tutorials on this playlist) can be downloaded as a compressed (zipped) folder by visiting the following link: github.com/dav.... Click "Clone or Download" followed by "Download ZIP".