{
"test_name": "Breusch-Godfrey Test (Python - statsmodels)",
"dataset": "iris",
"formula": "Sepal.Length ~ Sepal.Width + Petal.Length + Petal.Width + Species",
"order": 1,
"statistic": 17.017815146966342,
"p_value": 3.7030737947018e-05,
"test_type": "Chisq",
"df": [
1.0
],
"f_statistic": 17.98259884698945,
"f_p_value": 3.26164527240011e-05,
"f_df": [
1.0,
223.0
],
"passed": false,
"interpretation": "Significant serial correlation detected at order <= 1",
"description": "Tests for serial correlation up to order 1. The LM (Chi-squared) statistic is asymptotically distributed as chi-squared with 1 degrees of freedom. The F statistic provides a finite-sample correction. Uses statsmodels.stats.diagnostic.acorr_breusch_godfrey."
}