Logistic plot
Logistic regression models assess a binomial categorical dependent variable.
A company has gathered data on whether individuals clicked on an ad, Click, and wants to know about the amount of time spent on the site, TimeSearching in relation to clicking the ad. To describe the results of the model to the company's board, who is interested in whether the ad will be clicked given 43 minutes are spent on the site each day, create a scatter plot with relevant visual descriptors.
The webdata dataset and ggplot2 package have been loaded for you.
This exercise is part of the course
A/B Testing in R
Exercise instructions
- Store the daily time spent on the site that was used to determine the likelihood of clicking the ad, 43, as
TimeSearching. - Create the scatter plot with the logistic regression line and prediction time indicated with a black line.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Set the value to predict
TimeSearching <- ___
# Plot the data
ggplot(webdata, aes(x = ___, y = ___)) +
geom_point() +
geom_smooth(method = ___,
method.args = ___)) +
geom_vline(xintercept = ___)