Statistics, Machine Learning, Data Science, Financial Planning, Python.
'covariate': [2, 4, 3, 5, 1, 3, 5, 4, 2, 1, 4, 3, 5, 2, 1] } df = pd.DataFrame(data) # Perform ANCOVA model = ols('y ~ group + covariate', data=df).fit() anova_table = sm.stats.anova_lm(model, typ=2) print(anova_table) # Visualize the main effect of the group variable plt.figure(figsize=(8, 6))