{"id":505,"date":"2023-07-29T16:29:54","date_gmt":"2023-07-29T16:29:54","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%8b%e1%85%ad%e1%84%85%e1%85%b5%e1%84%89%e1%85%a1-%e1%84%80%e1%85%a5%e1%84%85%e1%85%b5%e1%84%85%e1%85%b3%e1%86%af-%e1%84%89%e1%85%a1%e1%84%8b%e1%85%ad%e1%86%bc%e1%84%92%e1%85%a1%e1%84%8b%e1%85%a7\/"},"modified":"2023-07-29T16:29:54","modified_gmt":"2023-07-29T16:29:54","slug":"%e1%84%8b%e1%85%ad%e1%84%85%e1%85%b5%e1%84%89%e1%85%a1-%e1%84%80%e1%85%a5%e1%84%85%e1%85%b5%e1%84%85%e1%85%b3%e1%86%af-%e1%84%89%e1%85%a1%e1%84%8b%e1%85%ad%e1%86%bc%e1%84%92%e1%85%a1%e1%84%8b%e1%85%a7","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%8b%e1%85%ad%e1%84%85%e1%85%b5%e1%84%89%e1%85%a1-%e1%84%80%e1%85%a5%e1%84%85%e1%85%b5%e1%84%85%e1%85%b3%e1%86%af-%e1%84%89%e1%85%a1%e1%84%8b%e1%85%ad%e1%86%bc%e1%84%92%e1%85%a1%e1%84%8b%e1%85%a7\/","title":{"rendered":"Cook&#39;s distance\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc601\ud5a5\ub825 \uc788\ub294 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\ub97c \uc2dd\ubcc4\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><sub>Di\ub85c<\/sub> \ud45c\uc2dc\ub418\ub294 <strong>Cook\uc758 \uac70\ub9ac(Cook&#8217;s distance)\ub294<\/strong> <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u110c\u116e\u11bc-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener noreferrer\">\ud68c\uadc0 \ubd84\uc11d<\/a> \uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc5d0 \ubd80\uc815\uc801\uc778 \uc601\ud5a5\uc744 \uc904 \uc218 \uc788\ub294 \uc601\ud5a5\ub825 \uc788\ub294 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\ub97c \uc2dd\ubcc4\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Cook\uc758 \uac70\ub9ac \uacf5\uc2dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>d <sub>i<\/sub><\/strong> = (ri <sub>2<\/sub> \/ p*MSE) * (h <sub>ii<\/sub> \/ (1-h <sub>ii<\/sub> <sup>)<\/sup> <sup>2<\/sup> )<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>r<\/strong> <sub><strong>i<\/strong><\/sub> \ub294 i <sup>\ubc88\uc9f8<\/sup> \uc794\uae30\uc774\ub2e4<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>p<\/strong> \ub294 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacc4\uc218 \uc218\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>MSE<\/strong> \ub294 \ud3c9\uade0 \uc81c\uacf1 \uc624\ucc28\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>h<\/strong> <sub>ii<\/sub> \ub294 <sup>i\ubc88\uc9f8<\/sup> \ub808\ubc84\ub9ac\uc9c0 \uac12\uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uacf5\uc2dd\uc774 \ub2e4\uc18c \ubcf5\uc7a1\ud574 \ubcf4\uc774\uc9c0\ub9cc \uc88b\uc740 \uc18c\uc2dd\uc740 \ub300\ubd80\ubd84\uc758 \ud1b5\uacc4 \uc18c\ud504\ud2b8\uc6e8\uc5b4\uac00 \uc27d\uac8c \uacf5\uc2dd\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\ub2e4\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubcf8\uc9c8\uc801\uc73c\ub85c Cook\uc758 \uac70\ub9ac\ub294 \ud55c \uac00\uc9c0 \uc77c\uc744 \ud569\ub2c8\ub2e4. <strong>i <sup>\ubc88\uc9f8<\/sup> \ub370\uc774\ud130 \uc810\uc774 \uc81c\uac70\ub420 \ub54c \ubaa8\ub378\uc758 \ubaa8\ub4e0 \uc801\ud569\uce58\uac00 \uc5bc\ub9c8\ub098 \ubcc0\uacbd\ub418\ub294\uc9c0 \uce21\uc815\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Cook\uc758 \uac70\ub9ac \uac12\uc774 \ub192\uc740 \ub370\uc774\ud130 \uc810\uc740 \uc801\ud569\uce58\uc5d0 \ud070 \uc601\ud5a5\uc744 \ubbf8\uce5c\ub2e4\ub294 \uac83\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 \uaddc\uce59\uc740 Cook \uac70\ub9ac\uac00 4\/n( <em>\uc5ec\uae30\uc11c n\uc740 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uc758 \ucd1d \uac1c\uc218<\/em> )\ubcf4\ub2e4 \ud070 \ubaa8\ub4e0 \ud3ec\uc778\ud2b8\ub97c \uc774\uc0c1\uac12\uc73c\ub85c \uac04\uc8fc\ud55c\ub2e4\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Cook\uc758 \uac70\ub9ac\uac00 \uc601\ud5a5\ub825 \uc788\ub294 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\ub97c <em>\uc2dd\ubcc4\ud558\ub294<\/em> \ub370 \uc885\uc885 \uc0ac\uc6a9\ub41c\ub2e4\ub294 \uc810\uc5d0 \uc720\uc758\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4. \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uac00 \uc601\ud5a5\ub825\uc774 \uc788\ub2e4\uace0 \ud574\uc11c \ubc18\ub4dc\uc2dc \uc81c\uac70\ud574\uc57c \ud55c\ub2e4\ub294 \uc758\ubbf8\ub294 \uc544\ub2d9\ub2c8\ub2e4. \uba3c\uc800 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uac00 \ub2e8\uc21c\ud788 \uc798\ubabb \uae30\ub85d\ub418\uc5c8\ub294\uc9c0 \ub610\ub294 \ud765\ubbf8\ub85c\uc6b4 \uacb0\uacfc\ub97c \ub098\ud0c0\ub0bc \uc218 \uc788\ub294 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uc5d0 \uc774\uc0c1\ud55c \uc810\uc774 \uc788\ub294\uc9c0 \ud655\uc778\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>R\uc5d0\uc11c Cook\uc758 \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 R\uc5d0\uc11c Cook\uc758 \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uba3c\uc800 \uc774 \uc608\uc81c\uc5d0 \ud544\uc694\ud55c \ub450 \uac1c\uc758 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>library(ggplot2)\nlibrary(gridExtra)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c \ub450 \uac1c\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc815\uc758\ud569\ub2c8\ub2e4. \ud558\ub098\ub294 \ub450 \uac1c\uc758 \uc774\uc0c1\uac12\uc774 \uc788\uace0 \ub2e4\ub978 \ud558\ub098\ub294 \uc774\uc0c1\uac12\uc774 \uc5c6\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame with no outliers<\/span>\nno_outliers &lt;- data.frame(x = c(1, 2, 2, 3, 4, 5, 7, 3, 2, 12, 11, 15, 14, 17, 22),\n                          y = c(22, 23, 24, 23, 19, 34, 35, 36, 36, 34, 32, 38, 41,\n                                42, 44))\n\n<span style=\"color: #008080;\">#create data frame with two outliers\n<\/span>outliers &lt;- data.frame(x = c(1, 2, 2, 3, 4, 5, 7, 3, 2, 12, 11, 15, 14, 17, 22),\n                       y = c( <span style=\"color: #800080;\">190<\/span> , 23, 24, 23, 19, 34, 35, 36, 36, 34, 32, 38, 41,\n                             42, <span style=\"color: #800080;\">180<\/span> ))<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c \ub450 \uac1c\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub098\ub780\ud788 \ud45c\uc2dc\ud558\ub294 \ubd84\uc0b0\ud615 \ucc28\ud2b8\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create scatterplot for data frame with no outliers\n<\/span>no_outliers_plot &lt;- ggplot(data = no_outliers, aes(x = x, y = y)) +\n  geom_point() +\n  geom_smooth(method = lm) +\n  ylim(0, 200) +\n  ggtitle(\"No Outliers\")\n\n<span style=\"color: #008080;\">#create scatterplot for data frame with outliers\n<\/span>outliers_plot &lt;- ggplot(data = outliers, aes(x = x, y = y)) +\n  geom_point() +\n  geom_smooth(method = lm) +\n  ylim(0, 200) +\n  ggtitle(\"With Outliers\")\n\n<span style=\"color: #008080;\">#plot the two scatterplots side by side\n<\/span>gridExtra::grid.arrange(no_outliers_plot, outliers_plot, ncol=2)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub450 \ubc88\uc9f8 \uadf8\ub798\ud504\uc5d0\uc11c \uc774\uc0c1\uac12\uc774 \ud68c\uadc0\uc120\uc758 \uc801\ud569\uc131\uc5d0 \uc5b4\ub5bb\uac8c \ubd80\uc815\uc801\uc778 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub450 \ubc88\uc9f8 \ub370\uc774\ud130\uc138\ud2b8\uc5d0\uc11c \uc601\ud5a5\ub825 \uc788\ub294 \uc9c0\uc810\uc744 \uc2dd\ubcc4\ud558\uae30 \uc704\ud574 \ub370\uc774\ud130\uc138\ud2b8\uc758 \uac01 \uad00\uce21\uac12\uc5d0 \ub300\ud55c <strong>Cook \uac70\ub9ac\ub97c<\/strong> \uacc4\uc0b0\ud55c \ub2e4\uc74c \uc774 \uac70\ub9ac\ub97c \ud45c\uc2dc\ud558\uc5ec \uc5b4\ub5a4 \uad00\uce21\uac12\uc774 \uae30\uc874 \uc784\uacc4\uac12\uc778 4\/n\ubcf4\ub2e4 \ub192\uc740\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit the linear regression model to the dataset with outliers<\/span>\nmodel &lt;- lm(y ~ x, data = outliers)\n\n<span style=\"color: #008080;\">#find Cook's distance for each observation in the dataset\n<\/span>cooksD &lt;- cooks.distance(model)\n\n<span style=\"color: #008080;\"># Plot Cook's Distance with a horizontal line at 4\/n to see which observations<\/span>\n<span style=\"color: #008080;\">#exceed this threshold<\/span>\nn &lt;- nrow(outliers)\nplot(cooksD, main = \"Cooks Distance for Influential Obs\")\nabline(h = 4\/n, lty = 2, col = \"steelblue\") <span style=\"color: #008080;\"># add cutoff line<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub370\uc774\ud130\uc138\ud2b8\uc758 \uccab \ubc88\uc9f8\uc640 \ub9c8\uc9c0\ub9c9 \uad00\uce21\uce58\uac00 4\/n \uc784\uacc4\uac12\uc744 \ucd08\uacfc\ud55c\ub2e4\ub294 \uac83\uc744 \ubd84\uba85\ud788 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub530\ub77c\uc11c \uc6b0\ub9ac\ub294 \uc774 \ub450 \uac00\uc9c0 \uad00\ucc30\uc744 \ud68c\uadc0 \ubaa8\ub378\uc5d0 \ubd80\uc815\uc801\uc778 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294 \uc601\ud5a5\ub825 \uc788\ub294 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\ub85c \uc2dd\ubcc4\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">4\/n \uc784\uacc4\uac12\uc744 \ucd08\uacfc\ud558\ub294 \ubaa8\ub4e0 \uad00\uce21\uac12\uc744 \uc81c\uac70\ud558\ub824\uba74 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uba74 \ub429\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#identify influential points<\/span>\ninfluential_obs &lt;- as.numeric(names(cooksD)[(cooksD &gt; (4\/n))])\n\n<span style=\"color: #008080;\">#define new data frame with influential points removed\n<\/span>outliers_removed &lt;- outliers[-influential_obs, ]<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uadf8\ub7f0 \ub2e4\uc74c \ub450 \uac1c\uc758 \uc0b0\uc810\ub3c4\ub97c \ube44\uad50\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud558\ub098\ub294 \uc601\ud5a5 \uc810\uc774 \uc874\uc7ac\ud558\ub294 \ud68c\uadc0\uc120\uc744 \ud45c\uc2dc\ud558\uace0 \ub2e4\ub978 \ud558\ub098\ub294 \uc601\ud5a5 \uc810\uc774 \uc81c\uac70\ub41c \ud68c\uadc0\uc120\uc744 \ud45c\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create scatterplot with outliers present<\/span>\noutliers_present &lt;- ggplot(data = outliers, aes(x = x, y = y)) +\n  geom_point() +\n  geom_smooth(method = lm) +\n  ylim(0, 200) +\n  ggtitle(\"Outliers Present\")\n\n<span style=\"color: #008080;\">#create scatterplot with outliers removed<\/span>\noutliers_removed &lt;- ggplot(data = outliers_removed, aes(x = x, y = y)) +\n  geom_point() +\n  geom_smooth(method = lm) +\n  ylim(0, 200) +\n  ggtitle(\"Outliers Removed\")\n\n<span style=\"color: #008080;\">#plot both scatterplots side by side\n<\/span>gridExtra::grid.arrange(outliers_present, outliers_removed, ncol = 2)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub450 \uac1c\uc758 \uc601\ud5a5\ub825 \uc788\ub294 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uac00 \uc81c\uac70\ub418\uba74 \ud68c\uadc0\uc120\uc774 \ub370\uc774\ud130\uc5d0 \uc5bc\ub9c8\ub098 \ub354 \uc798 \ub9de\ub294\uc9c0 \uba85\ud655\ud558\uac8c \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uae30\uc220 \ub178\ud2b8<\/strong><\/span><\/h3>\n<ul>\n<li> <span style=\"color: #000000;\">\ub300\ubd80\ubd84\uc758 \ud1b5\uacc4 \uc18c\ud504\ud2b8\uc6e8\uc5b4\uc5d0\ub294 \ub370\uc774\ud130 \uc138\ud2b8\uc758 \uac01 \uad00\ucc30\uc5d0 \ub300\ud55c Cook\uc758 \uac70\ub9ac\ub97c \uc27d\uac8c \uacc4\uc0b0\ud558\ub294 \uae30\ub2a5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Cook&#8217;s Distance\ub294 \ub2e8\uc21c\ud788 \uc601\ud5a5 \uc9c0\uc810\uc744 <em>\uc2dd\ubcc4\ud558\ub294<\/em> \ubc29\ubc95\uc77c \ubfd0\uc774\ub77c\ub294 \uc810\uc744 \uba85\uc2ec\ud558\uc138\uc694.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc601\ud5a5\ub825 \uc788\ub294 \uc810\uc744 <em>\ucc98\ub9ac\ud558\ub294<\/em> \ubc29\ubc95\uc5d0\ub294 \uc774\ub7ec\ud55c \uc810\uc744 \uc81c\uac70\ud558\uac70\ub098, \uc774\ub7ec\ud55c \uc810\uc744 \ud3c9\uade0 \ub610\ub294 \uc911\uc559\uac12\uacfc \uac19\uc740 \uac12\uc73c\ub85c \ub300\uccb4\ud558\uac70\ub098, \ub2e8\uc21c\ud788 \ubaa8\ub378\uc5d0 \uc810\uc744 \uc720\uc9c0\ud558\ub418 \uacb0\uacfc \ud68c\uadc0\ub97c \ubcf4\uace0\ud560 \ub54c \uc8fc\uc758 \uae4a\uac8c \uae30\ub85d\ud558\ub294 \ub4f1 \uc5ec\ub7ec \uac00\uc9c0 \ubc29\ubc95\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Di\ub85c \ud45c\uc2dc\ub418\ub294 Cook\uc758 \uac70\ub9ac(Cook&#8217;s distance)\ub294 \ud68c\uadc0 \ubd84\uc11d \uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc5d0 \ubd80\uc815\uc801\uc778 \uc601\ud5a5\uc744 \uc904 \uc218 \uc788\ub294 \uc601\ud5a5\ub825 \uc788\ub294 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\ub97c \uc2dd\ubcc4\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. Cook\uc758 \uac70\ub9ac \uacf5\uc2dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. d i = (ri 2 \/ p*MSE) * (h ii \/ (1-h ii ) 2 ) \uae08: r i \ub294 i \ubc88\uc9f8 \uc794\uae30\uc774\ub2e4 p \ub294 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacc4\uc218 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-505","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cook&#039;s Distance\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc601\ud5a5\ub825 \uc788\ub294 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\ub97c \uc2dd\ubcc4\ud558\ub294 \ubc29\ubc95 - \ud1b5\uacc4\ud559<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Cook\uc758 \uac70\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud68c\uadc0 \ubd84\uc11d\uc5d0\uc11c \uc601\ud5a5\ub825 \uc788\ub294 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\ub97c \uc2dd\ubcc4\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ko\/\u110b\u116d\u1105\u1175\u1109\u1161-\u1100\u1165\u1105\u1175\u1105\u1173\u11af-\u1109\u1161\u110b\u116d\u11bc\u1112\u1161\u110b\u1167\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cook&#039;s Distance\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc601\ud5a5\ub825 \uc788\ub294 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\ub97c \uc2dd\ubcc4\ud558\ub294 \ubc29\ubc95 - 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