Re-examining the RailTrail data
In your previous work, you observed that rail-trail volume
tends to be lower on a weekday
than a weekend. Some of the variability in volume
might also be explained by outside temperature. For example, we might expect trail volume to increase on warm, pleasant days.
The RailTrail
data set in your workspace includes hightemp
, the observed high temperature (F) for each of the 90 days in the study period. You will use these data to explore the associations between trail volume
, weekday
status, and hightemp
This exercise is part of the course
Bayesian Modeling with RJAGS
Exercise instructions
Construct a scatterplot of volume
by hightemp
:
- Use
color
to distinguish between weekdays & weekends. - Use
geom_smooth()
to highlight the linear relationship between the observedvolume
&hightemp
values.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Construct a plot of volume by hightemp & weekday
ggplot(___, aes(y = ___, x = ___, color = ___)) +
___() +
geom_smooth(method = "lm", se = FALSE)