Two-way ANOVA with interactive effects
Once again, you're going to look at our dataset of Olympic athletes. As in previous exercises, you'll be looking at the variation in athlete Weight. You're going to look at athletes of either Sex competing in one of two Events: the 100 meter and 10,000 meter run. Have a look at these data in the boxplots below.
This dataset is provided in your workspace as athletes. An ANOVA will allow you to work out which of these variables affect Weight and whether an interactive effect is present. pandas, statsmodels, and plotnine have been loaded into the workspace as pd, sm, and p9, respectively.
This exercise is part of the course
Performing Experiments in Python
Exercise instructions
- Perform a two-way ANOVA to test whether
Sex,Event, or the interaction between the two has a significant effect onWeight. - Using
anova_lm()on your model, extract andprintthe table of results produced by your ANOVA.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Run the ANOVA
model = sm.api.formula.ols('Weight ~ ____ + ____ + ____:____', data = ____).fit()
# Extract our table
aov_table = sm.api.stats.anova_lm(____, typ=2)
# Print the table
print(____)