In a regression with n = 100 observations and k = 5 predictors, the criterion for high leverage is: A)h_i ≥ .06 B)h_i ≥ .12 C)h_i ≥ .18 D)h_i ≥ .24

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The criterion for high leverage is h_i ≥ 2k/n, where k is the number of predictors and n is the number of observations. Substituting k = 5 and n = 100, we get h_i ≥ 0.1. The nearest option is B, which is h_i ≥ 0.12, but it still satisfies the criterion for high leverage. Options A, C, and D are too far away from the actual criterion value.

In a Regression with N = 100 Observations and K