(A) In linear regression, a(n) is an observation with large residual. In other words, it is an observation whose dependent-variable value is unusual given its values on the predictor variables. This may be indicative of a sample peculiarity or may indicate a data entry error or other problem. (B) An observation with an extreme value on a predictor variable is called a point with _. This is a measure of how far an independent variable deviates from its mean. These can have an unusually large effect on the estimate of regression coefficients. (C) An observation is said to be if removing the observation substantially changes the estimate of coefficients. (D) In linear regression, the error variance should be constant. Such a desirable property is called (E) The pattern of points due to plotting two variables on a graph is depicted in a (F) The Method of Principal Components Analysis introduces perfect amongst the predictor variables