I am following along with a statsmodels tutorial
An OLS model is fitted with
formula = 'S ~ C(E) + C(M) + X'
lm = ols(formula, salary_table).fit()
print lm.summary()
Predicted values are provided through:
lm.predict({'X' : [12], 'M' : [1], 'E' : [2]})
The result is returned as a single value array.
Is there a method to also return confidence intervals for the predicted value (prediction intervals) in statsmodels?
Thanks.
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