Multiple Linear Regression in R
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- Опубликовано: 2 май 2020
- NOTE: An update to the lessR package has resulted in the following changes. First, the abbreviated output version of the Regression function is now called reg_brief (formerly reg.brief). Second, the argument to request standardized coefficients (based on z-score rescaling of the predictor and outcome variables) is now: new_scale="z" (formerly standardized=TRUE and rescale="z"). Third, the filter= argument has been reverted back to rows= (which was used in a previous version of the package). Thus, you can ignore the message I added to this video around [42:06].
This tutorial demonstrates how to estimate a multiple linear regression model in R. Multiple linear regression is applied in the HR context of employee selection tool validation -- and specifically criterion-related validation.
Other videos from my "R Tutorials" playlist can be found here: • R Tutorials
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".