In regression an observation has high leverage when
A) removing the observation causes a large change in one of more coefficients of the model.
B) the observation is perfectly predicted by the regression.
C) the observation is poorly predicted by the regression.
D) the observation has a combination of x-values that is far from the center of the data.
E) none of these

Question

Quizplus · Accepted Answer

High leverage points are those with x-values far from the mean of the x-values, which can disproportionately influence the regression model.

In Regression an Observation Has High Leverage When