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Multicollinearity
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216.
Detecting Multicollinearity with VIF
easy
Which metric is commonly used to detect and quantify multicollinearity in a regression model?
A
The Variance Inflation Factor (VIF), which measures how much a coefficient's variance is inflated by correlation
B
The condition number of the design matrix, which measures the ratio of largest to smallest eigenvalue
C
The correlation matrix diagonal, which contains the self-correlation of each feature scaled by sample size
D
The coefficient of variation for each feature, which measures relative variability independent of scale
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