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

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

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

Quizplus · Accepted Answer

High leverage is typically identified when the leverage value hi is greater than 2(k+1)/n. For n = 100 and k = 5, this calculates to 2(5+1)/100 = 0.12.

In a Regression with N = 100 Observations and K