Her rival, Dr. Marcus Crane, insisted the problem was "price sensitivity." He ran a t-test comparing prices for buyers vs. non-buyers.
plt.tight_layout() plt.show()
contingency = pd.crosstab(df['sex'], df['smoker']) chi2, p, dof, expected = stats.chi2_contingency(contingency) print(f"p-value: p:.4f") Her rival, Dr
Cuando tus variables predictoras están correlacionadas entre sí, pueden inflar los errores del modelo. 6. Herramientas Esenciales en Python Dr. Marcus Crane
import seaborn as sns import matplotlib.pyplot as plt Her rival, Dr