{
"test_name": "Breusch-Godfrey Test (Python - statsmodels)",
"dataset": "prostate",
"formula": "lcavol ~ lweight + age + lbph + svi + lcp + gleason + pgg45 + lpsa",
"order": 1,
"statistic": 2.6663236458296353,
"p_value": 0.10249252701586692,
"test_type": "Chisq",
"df": [
1.0
],
"f_statistic": 2.4590386609789383,
"f_p_value": 0.1204804472155625,
"f_df": [
1.0,
87.0
],
"passed": true,
"interpretation": "No significant serial correlation detected up to 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."
}