Probabilities
There are four main ways of expressing the prediction from a logistic regression model—we'll look at each of them over the next four exercises. Firstly, since the response variable is either "yes" or "no", you can make a prediction of the probability of a "yes". Here, you'll calculate and visualize these probabilities.
Three variables are available:
mdl_churn_vs_relationshipis the logistic regression model ofhas_churnedversustime_since_first_purchase.explanatory_datais a data frame of explanatory values.plt_churn_vs_relationshipis a scatter plot ofhas_churnedversustime_since_first_purchasewith a smooth glm line.
dplyr is loaded.
This exercise is part of the course
Introduction to Regression in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Make a data frame of predicted probabilities
prediction_data <- explanatory_data %>%
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# See the result
prediction_data