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| In addition to a cut-off of 1, Hair et al mention that some people also use 4/(N-k-1) as a threshold for Cook’s distance which gives a lower threshold than 1 (e.g. this is 4/(27-1-1) = 0.16 for k predictors and N points and we have 1 predictor and 27 points). A third threshold of 4/N is also mentioned (Bollen, Kenneth A.; and Jackman, Robert W. (1990); Regression diagnostics: An expository treatment of outliers and influential cases, in Fox, John; and Long, J. Scott (eds.); Modern Methods of Data Analysis (pp. 257-91). Newbury Park, CA: Sage) as a threshold which is 4/27 = 0.14 in the above example. | In addition to a cut-off of 1, Hair et al mention that some people also use 4/(N-k-1) as a threshold for Cook’s distance which gives a lower threshold than 1 (e.g. this is 4/(27-1-1) = 0.16 for k predictors and N points with k=1 predictor and N=27 points). A third threshold of 4/N is also mentioned (Bollen, Kenneth A.; and Jackman, Robert W. (1990); Regression diagnostics: An expository treatment of outliers and influential cases, in Fox, John; and Long, J. Scott (eds.); Modern Methods of Data Analysis (pp. 257-91). Newbury Park, CA: Sage) as a threshold which gives 4/27 = 0.14 in the above example. |
Thresholds for Cook's Distance
In addition to a cut-off of 1, Hair et al mention that some people also use 4/(N-k-1) as a threshold for Cook’s distance which gives a lower threshold than 1 (e.g. this is 4/(27-1-1) = 0.16 for k predictors and N points with k=1 predictor and N=27 points). A third threshold of 4/N is also mentioned (Bollen, Kenneth A.; and Jackman, Robert W. (1990); Regression diagnostics: An expository treatment of outliers and influential cases, in Fox, John; and Long, J. Scott (eds.); Modern Methods of Data Analysis (pp. 257-91). Newbury Park, CA: Sage) as a threshold which gives 4/27 = 0.14 in the above example.
