OLS Summary and Confidence Intervals
OLS (Ordinary Least Squares) summary is the output from fitting a linear regression model that provides key statistics about the model's performance and coefficients.
Default Confidence Interval in OLS Summary
By default, most statistical software packages (Python's statsmodels, R, etc.) show the 95% confidence interval for model coefficients in OLS summary output.
What OLS Summary Typically Includes:
Coefficient estimates (β values)
Standard errors of coefficients
t-statistics and p-values
95% Confidence intervals for each coefficient
R-squared and Adjusted R-squared
F-statistic for overall model significance
Log-likelihood, AIC, BIC (in some packages)
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