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Tying it all together

Let's take a new modeling example from start to finish!

Let's build a model to predict, BPSysAve, a person's systolic blood pressure reading, using BPDiaAve, a person's diastolic blood pressure reading and Diabetes, whether or not they were diagnosed with diabetes.

This exercise is part of the course

Analyzing Survey Data in R

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Plot BPDiaAve and BPSysAve by Diabetes and include trend lines
drop_na(NHANESraw, Diabetes) %>%
ggplot(mapping = aes(___)) + 
    geom____(alpha = 0.2) + 
  	guides(size = "none") + 
    geom____(___, se = FALSE, mapping = aes(___))
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