Question: Consider the following table of eigenvalues and eigenvectors for a regression model.

1. What is the condition number for this data?
2. How many linear combinations that indicate moderate or severe multicollinearity are present in the data? Select from \(0,1,2, \ldots, 6\)
3. For the smallest eigenvalue write an approximate equation in (the standardized variables) \(x_{1}\), \(x_{2}, \ldots, x_{6}\) that approximately describes the multicollinearity indicated by this eigenvalue.

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