Weight & height data

The bdims data set from the openintro package is loaded in your workspace. bdims contains physical measurements on a sample of 507 individuals, including their weight in kg (wgt) and height in cm (hgt). You will use these data to build insights into the relationship between weight and height.

This exercise is part of the course

Bayesian Modeling with RJAGS

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Exercise instructions

Construct a scatterplot of wgt (y-axis) vs hgt (x-axis) using ggplot() with a geom_point() layer.
Construct a scatterplot of wgt vs hgt which includes a geom_smooth() of the linear relationship between these 2 variables.

Hands-on interactive exercise

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

# Construct a scatterplot of wgt vs hgt
ggplot(___, aes(x = ___, y = ___)) + 
    geom_point()

# Add a model smooth
ggplot(___, aes(x = ___, y = ___)) + 
    ___() + 
    geom_smooth(method = "lm", se = FALSE)

Edit and Run Code