An overall measure of the difference between the least squares point estimates calculated using observation i,and the least squares point estimates calculated without using observation i is called the ____________ measure. A)Durbin-Watson B)Cook's distance C)R² D)C

Question

Quizplus · Accepted Answer

The measure described in the question is Cook's distance, which measures the influence of each observation on the overall regression model. A large Cook's distance indicates that the removal of a particular observation would have a significant impact on the regression coefficients, and thus it may be an outlier or influential point. Therefore, Cook's distance is a useful tool for identifying influential observations in a regression analysis. Durbin-Watson is a test for autocorrelation, and R² is not a valid statistical term.

An Overall Measure of the Difference Between the Least Squares