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import numpy as np
import statsmodels.api as sm
df = sm.datasets.ccard.load_pandas().data
df['intercept'] = 1.0
model = sm.Logit(df.OWNRENT, df[['intercept', 'AGE', 'INCOME']])
result = model.fit()
result.summary()
# the odds
np.exp(result.params)
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