Build a multiple logistic regression model
An employee's decision to leave the organization usually depends on more than just one factor. Hence, considering only one independent variable would not be of much use when trying to predict turnover.
In this exercise, you will use all the independent variables in the dataset (train_set_multi) to build a multiple logistic regression model.
This exercise is part of the course
HR Analytics: Predicting Employee Churn in R
Exercise instructions
- Build a logistic regression model using all the independent variables in
train_set_multito predictturnover. - Print the summary of this model.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Build a multiple logistic regression model
multi_log <- ___(___, family = "binomial",
data = train_set_multi)
# Print summary
___