Question: Explore the bivariate relationship between the bill length and the flipper length of the penguins. That is, the research question would want to explore if the bill length of a penguin helps to explain variation in the flipper length of the penguin. Replace "%%" with the outcome of interest and "@@" with the primary attribute to predict the outcome of interest. Finally, replace "^^" to provide descriptive axis labels for the data attributes.

I'm not entirely sure what attributes to use. Below is the code that needs to have the attributes replaced, with the possible attributes below.

gf_point(%% ~ @@, data = penguins, size = 4) %>% gf_smooth(method = 'lm', size = 2) %>% gf_labs(x = "^^", y = "^^")

Attributes:

• species: One of three species of penguins, Adelie, Chinstrap, or Gentoo
• island: The island the penguin lives on, Torgersen, Biscoe, or Dream
• bill_length_mm: The bill length, in mm, of the penguin
• bill_depth_mm: The bill depth, in mm, of the penguin
• flipper_length_mm: The flipper length, in mm, of the penguin
• body_mass_g: The body mass, in grams, of the penguin
• sex: The sex of the penguin, female or male
• year: The year of data collection, 2007, 2008, or 2009.