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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

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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") +
  ___(___ = ___, ___ = ___)
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