Question: When testing our predictive variables for Multicollinearity, creating a model in R of lm( pred1 ~ pred2 + pred3, data = dataset) and we get

When testing our predictive variables for Multicollinearity, creating a model in R of lm( pred1 ~ pred2 + pred3, data = dataset) and we get an R Squared of 0.85. What is the VIF for pred1?

A. 0.85

B. 0.15

C. 6.667

D. 0.5405

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