Interpreting the results from Statsmodels involves understanding the statistical output, such as coefficients, p-values, and confidence intervals. For example, in a regression model, a low p-value (R-squared value indicates how well the model fits the data. Understanding these metrics allows researchers to make informed conclusions about their catalytic systems.
