Plotting a "best-fitting" regression line
Previously you visualized the relationship of teaching score and "beauty score" via a scatterplot. Now let's add the "best-fitting" regression line to provide a sense of any overall trends. Even though you know this plot suffers from overplotting, you'll stick to the non-jitter
version.
This exercise is part of the course
Modeling with Data in the Tidyverse
Exercise instructions
Add a regression line without the error bars to the scatterplot.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Load packages
library(ggplot2)
library(dplyr)
library(moderndive)
# Plot
ggplot(evals, aes(x = bty_avg, y = score)) +
geom_point() +
labs(x = "beauty score", y = "score") +
___(___ = ___, ___ = ___)