{
"test_name": "VIF Test (Python - statsmodels)",
"dataset": "iris",
"formula": "Sepal.Length ~ Sepal.Width + Petal.Length + Petal.Width + Species",
"vif_values": [
1.8950240072658073,
38.264830758035224,
27.29358984162177,
41.222082670275014
],
"variable_names": [
"Sepal.Width",
"Petal.Length",
"Petal.Width",
"Species"
],
"max_vif": 41.222082670275014,
"interpretation": "Severe multicollinearity detected (VIF > 10)",
"description": "Variance Inflation Factor measures multicollinearity among predictors. Uses statsmodels.stats.outliers_influence.variance_inflation_factor."
}