Final Answer:
a) Using the sns.lmplot() function with bill length on the x-axis and bill depth on the y-axis, a scatterplot was created with a regression line for the penguins' data.
b) Further analysis involved utilizing the sns.lmplot() function to generate a scatterplot with three distinct regression lines, each corresponding to a different penguin species. The use of different colors effectively distinguished the data points and regression lines for each species.
Step-by-step explanation:
The sns.lmplot() function in part (a) provides a visual representation of the relationship between bill length and bill depth for the entire penguin dataset. This initial scatterplot with a single regression line allows for a general understanding of the overall trend in the data.
In part (b), the sns.lmplot() function is employed again, this time creating a scatterplot with three separate regression lines, each corresponding to a distinct penguin species. The use of different colors aids in visually distinguishing the data points and regression lines for Adelie, Chinstrap, and Gentoo penguins. This segmented approach facilitates a more nuanced analysis, revealing potential species-specific patterns within the data.
Regarding part (c), to determine if Simpson's paradox is present, one would need to assess whether the direction of association between bill length and bill depth changes when accounting for the third variable (penguin species). Without the specific results of the analysis, it is challenging to ascertain if Simpson's paradox is evident. The answer would depend on whether the overall regression relationship is consistent across species or if the direction of association varies when considering each species separately.