{
"test_name": "VIF Test (Python - statsmodels)",
"dataset": "bodyfat",
"formula": "Density ~ BodyFat + Age + Weight + Height + Neck + Chest + Abdomen + Hip + Thigh + Knee + Ankle + Biceps + Forearm + Wrist",
"vif_values": [
3.9848570514456516,
2.2852726373283367,
33.89374360747544,
1.6782876844825458,
4.398925374438392,
9.463180292592869,
17.797924728489363,
14.922301990297314,
7.865281436125754,
4.6122240205292515,
1.9129092572327766,
3.6368719420769127,
2.2399618927153213,
3.507763429628098
],
"variable_names": [
"BodyFat",
"Age",
"Weight",
"Height",
"Neck",
"Chest",
"Abdomen",
"Hip",
"Thigh",
"Knee",
"Ankle",
"Biceps",
"Forearm",
"Wrist"
],
"max_vif": 33.89374360747544,
"interpretation": "Severe multicollinearity detected (VIF > 10)",
"description": "Variance Inflation Factor measures multicollinearity among predictors. Uses statsmodels.stats.outliers_influence.variance_inflation_factor."
}