{"id":2467,"date":"2023-07-22T03:25:54","date_gmt":"2023-07-22T03:25:54","guid":{"rendered":"https:\/\/statorials.org\/ko\/python%e1%84%8b%e1%85%b4-%e1%84%92%e1%85%b4%e1%86%ab%e1%84%89%e1%85%a2%e1%86%a8-%e1%84%90%e1%85%a6%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3\/"},"modified":"2023-07-22T03:25:54","modified_gmt":"2023-07-22T03:25:54","slug":"python%e1%84%8b%e1%85%b4-%e1%84%92%e1%85%b4%e1%86%ab%e1%84%89%e1%85%a2%e1%86%a8-%e1%84%90%e1%85%a6%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/python%e1%84%8b%e1%85%b4-%e1%84%92%e1%85%b4%e1%86%ab%e1%84%89%e1%85%a2%e1%86%a8-%e1%84%90%e1%85%a6%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3\/","title":{"rendered":"Python\uc5d0\uc11c white\uc758 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95(\ub2e8\uacc4\ubcc4)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>White\uc758 \ud14c\uc2a4\ud2b8\ub294<\/strong> \ud68c\uadc0 \ubaa8\ub378\uc5d0 <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1175\u1107\u116e\u11ab\u1109\u1161\u11ab\u1109\u1165\u11bc-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener\">\uc774\ubd84\uc0b0\uc131\uc774<\/a> \uc874\uc7ac\ud558\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ubd84\uc0b0\uc131\uc740 <a href=\"https:\/\/statorials.org\/ko\/\u1107\u1167\u11ab\u1109\u116e-\u1109\u1165\u11af\u1106\u1167\u11bc-\u110b\u1173\u11bc\u1103\u1161\u11b8\/\" target=\"_blank\" rel=\"noopener\">\ubc18\uc751 \ubcc0\uc218<\/a> \uc758 \uc11c\ub85c \ub2e4\ub978 \uc218\uc900\uc5d0\uc11c <a href=\"https:\/\/statorials.org\/ko\/\u110c\u1161\u11ab\u110b\u1167\u1106\u116e\u11af\/\" target=\"_blank\" rel=\"noopener\">\uc794\ucc28\uac00<\/a> \uace0\ub974\uc9c0 \uc54a\uac8c \ubd84\uc0b0\ub418\ub294 \uac83\uc744 \uc758\ubbf8\ud558\uba70, \uc774\ub294 \uc794\ucc28\uac00 \ubc18\uc751 \ubcc0\uc218\uc758 \uac01 \uc218\uc900\uc5d0\uc11c \ub3d9\uc77c\ud558\uac8c \ubd84\uc0b0\ub41c\ub2e4\ub294 <a href=\"https:\/\/statorials.org\/ko\/\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171-\u1100\u1161\u110c\u1165\u11bc\/\" target=\"_blank\" rel=\"noopener\">\uac00\uc815\uc744<\/a> \uc704\ubc18\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ub2e8\uacc4\ubcc4 \uc608\uc81c\uc5d0\uc11c\ub294 Python\uc5d0\uc11c White\uc758 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\uc5ec \uc8fc\uc5b4\uc9c4 \ud68c\uadc0 \ubaa8\ub378\uc5d0\uc11c \uc774\ubd84\uc0b0\uc131\uc774 \ubb38\uc81c\uc778\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <strong>1\ub2e8\uacc4: \ub370\uc774\ud130 \ub85c\ub4dc<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc5d0\uc11c\ub294 <strong>mtcars<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec <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\">\ub2e4\uc911 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744<\/a> \ud53c\ud305\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc774 \ub370\uc774\ud130 \uc138\ud2b8\ub97c Pandas DataFrame\uc5d0 \ub85c\ub4dc\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">linear_model<\/span> <span style=\"color: #008000;\">import<\/span> LinearRegression\n<span style=\"color: #008000;\">from<\/span> statsmodels. <span style=\"color: #3366ff;\">stats<\/span> . <span style=\"color: #3366ff;\">diagnostic<\/span> <span style=\"color: #008000;\">import<\/span> het_white\n<span style=\"color: #008000;\">import<\/span> statsmodels. <span style=\"color: #3366ff;\">api<\/span> <span style=\"color: #008000;\">as<\/span> sm\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define URL where dataset is located\n<\/span>url = \"https:\/\/raw.githubusercontent.com\/Statorials\/Python-Guides\/main\/mtcars.csv\"\n\n<span style=\"color: #008080;\">#read in data\n<\/span>data = pd. <span style=\"color: #3366ff;\">read_csv<\/span> (url)\n\n<span style=\"color: #008080;\">#view summary of data\n<\/span>data. <span style=\"color: #3366ff;\">info<\/span> ()\n\n&lt;class 'pandas.core.frame.DataFrame'&gt;\nRangeIndex: 32 entries, 0 to 31\nData columns (total 12 columns):\n # Column Non-Null Count Dtype  \n--- ------ -------------- -----  \n 0 model 32 non-null object \n 1 mpg 32 non-null float64\n 2 cyl 32 non-null int64  \n 3 disp 32 non-null float64\n 4 hp 32 non-null int64  \n 5 drat 32 non-null float64\n 6 wt 32 non-null float64\n 7 qsec 32 non-null float64\n 8 vs 32 non-null int64  \n 9 am 32 non-null int64  \n 10 gear 32 non-null int64  \n 11 carb 32 non-null int64  \ndtypes: float64(5), int64(6), object(1)\n<\/strong><\/pre>\n<h3> <strong>2\ub2e8\uacc4: \ud68c\uadc0 \ubaa8\ub378 \uc801\ud569<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c <strong>mpg\ub97c<\/strong> \uc751\ub2f5 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uace0 <strong>disp<\/strong> \uc640 <strong>hp\ub97c<\/strong> \ub450 \uc608\uce21 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uc5ec \ud68c\uadc0 \ubaa8\ub378\uc744 \ud53c\ud305\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define response variable\n<\/span>y = data[' <span style=\"color: #ff0000;\">mpg<\/span> ']\n\n<span style=\"color: #008080;\">#define predictor variables\n<\/span>x = data[[' <span style=\"color: #ff0000;\">disp<\/span> ', ' <span style=\"color: #ff0000;\">hp<\/span> ']]\n\n<span style=\"color: #008080;\">#add constant to predictor variables\n<\/span>x = sm. <span style=\"color: #3366ff;\">add_constant<\/span> (x)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>model = sm. <span style=\"color: #3366ff;\">OLS<\/span> (y,x). <span style=\"color: #3366ff;\">fit<\/span> ()<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: White\uc758 \ud14c\uc2a4\ud2b8 \uc218\ud589<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c, \ud68c\uadc0 \ubaa8\ub378\uc5d0 \uc774\ubd84\uc0b0\uc131\uc774 \uc874\uc7ac\ud558\ub294\uc9c0 \ud655\uc778\ud558\uae30 \uc704\ud574 statsmodels \ud328\ud0a4\uc9c0\uc758 <a href=\"https:\/\/www.statsmodels.org\/dev\/generated\/statsmodels.stats.diagnostic.het_white.html\" target=\"_blank\" rel=\"noopener\">het_white()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec White\uc758 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#perform White's test\n<\/span>white_test = het_white(model. <span style=\"color: #3366ff;\">resid<\/span> , model. <span style=\"color: #3366ff;\">model<\/span> . <span style=\"color: #3366ff;\">exog<\/span> )\n\n<span style=\"color: #008080;\">#define labels to use for output of White's test\n<\/span>labels = ['Test Statistic', 'Test Statistic p-value', 'F-Statistic', 'F-Test p-value']\n\n<span style=\"color: #008080;\">#print results of White's test\n<span style=\"color: #008000;\">print<\/span><\/span> (dict(zip(labels, white_test)))\n\n{'Test Statistic': 7.076620330416624, 'Test Statistic p-value': 0.21500404394263936,\n 'F-Statistic': 1.4764621093131864, 'F-Test p-value': 0.23147065943879694}<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uac80\uc815 \ud1b5\uacc4\ub7c9\uc740 <sup>X2<\/sup> = <strong>7.0766<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ud574\ub2f9 p-\uac12\uc740 <strong>0.215<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">White \ud14c\uc2a4\ud2b8\uc5d0\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uadc0\ubb34 \uac00\uc124\uacfc \ub300\ub9bd \uac00\uc124\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>Null (H <sub>0<\/sub> )<\/strong> : \ub3d9\ubd84\uc0b0\uc131\uc774 \uc788\uc74c(\uc794\ucc28\ub3c4 \ubd84\uc0b0\ub428)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\ub300\uc548( <sub>HA<\/sub> ):<\/strong> \uc774\ubd84\uc0b0\uc131\uc774 \uc874\uc7ac\ud569\ub2c8\ub2e4(\uc794\ucc28\uac00 \uade0\ub4f1\ud558\uac8c \ubd84\uc0b0\ub418\uc9c0 \uc54a\uc74c).<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">p-\uac12\uc774 0.05 \uc774\uc0c1\uc774\ubbc0\ub85c \uadc0\ubb34\uac00\uc124\uc744 \uae30\uac01\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub294 \ud68c\uadc0 \ubaa8\ub378\uc5d0 \uc774\ubd84\uc0b0\uc131\uc774 \uc874\uc7ac\ud55c\ub2e4\uace0 \uc8fc\uc7a5\ud560 \uc218 \uc788\ub294 \ucda9\ubd84\ud55c \uc99d\uac70\uac00 \uc5c6\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <strong>\ub2e4\uc74c\uc5d0 \ubb34\uc5c7\uc744\ud560\uc9c0<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">White \uac80\uc815\uc758 \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud558\uc9c0 \ubabb\ud558\uba74 \uc774\ubd84\uc0b0\uc131\uc774 \uc874\uc7ac\ud558\uc9c0 \uc54a\uc73c\uba70 \uacc4\uc18d\ud574\uc11c \uc6d0\ub798 \ud68c\uadc0 \uacb0\uacfc\ub97c \ud574\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub7ec\ub098 \uadc0\ubb34\uac00\uc124\uc744 \uae30\uac01\ud55c\ub2e4\uba74 \uc774\ub294 \uc774\ubd84\uc0b0\uc131\uc774 \uc788\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. \uc774 \uacbd\uc6b0 \ud68c\uadc0 \ucd9c\ub825 \ud14c\uc774\ube14\uc5d0 \ud45c\uc2dc\ub418\ub294 \ud45c\uc900 \uc624\ub958\ub294 \uc2e0\ub8b0\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ub450 \uac00\uc9c0 \uc77c\ubc18\uc801\uc778 \ubc29\ubc95\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. \ubc18\uc751 \ubcc0\uc218\ub97c \ubcc0\ud658\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4 \uc751\ub2f5 \ubcc0\uc218\uc758 <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\u110b\u1173\u1105\u1169-\u1103\u1166\u110b\u1175\u1110\u1165-\u1107\u1167\u11ab\u1112\u116a\u11ab\/\" target=\"_blank\" rel=\"noopener\">\ub85c\uadf8, \uc81c\uacf1\uadfc \ub610\ub294 \uc138\uc81c\uacf1\uadfc\uc744<\/a> \ucde8\ud558\ub294 \ub4f1 \uc751\ub2f5 \ubcc0\uc218\uc5d0 \ub300\ud55c \ubcc0\ud658\uc744 \uc218\ud589\ud574 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub85c \uc778\ud574 \uc774\ubd84\uc0b0\uc131\uc774 \uc0ac\ub77c\uc9c0\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2. \uac00\uc911 \ud68c\uadc0\ub97c \uc0ac\uc6a9\ud558\uc2ed\uc2dc\uc624.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uac00\uc911 \ud68c\uadc0\ub294 \uc801\ud569\uce58\uc758 \ubd84\uc0b0\uc744 \uae30\ubc18\uc73c\ub85c \uac01 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uc5d0 \uac00\uc911\uce58\ub97c \ud560\ub2f9\ud569\ub2c8\ub2e4. \ubcf8\uc9c8\uc801\uc73c\ub85c \uc774\ub294 \ubd84\uc0b0\uc774 \ub354 \ub192\uc740 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uc5d0 \ub0ae\uc740 \uac00\uc911\uce58\ub97c \ubd80\uc5ec\ud558\uc5ec \uc794\ucc28 \uc81c\uacf1\uc744 \uc904\uc785\ub2c8\ub2e4. \uc801\uc808\ud55c \uac00\uc911\uce58\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774\ubd84\uc0b0\uc131 \ubb38\uc81c\ub97c \ud574\uacb0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc790\uc2b5\uc11c\uc5d0\uc11c\ub294 Python\uc758 \uc120\ud615 \ud68c\uadc0\uc5d0 \ub300\ud55c \ucd94\uac00 \uc815\ubcf4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener\">Python\uc758 \uc120\ud615 \ud68c\uadc0\uc5d0 \ub300\ud55c \uc644\uc804\ud55c \uac00\uc774\ub4dc<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab-\u110c\u1161\u11ab\u110e\u1161-\u1100\u1173\u1105\u1162\u1111\u1173\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c \uc794\ucc28 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\u110b\u1173\u1105\u1169-vive\u1105\u1173\u11af-\u1100\u1168\u1109\u1161\u11ab\u1112\u1161\u1102\u1173\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c VIF\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>White\uc758 \ud14c\uc2a4\ud2b8\ub294 \ud68c\uadc0 \ubaa8\ub378\uc5d0 \uc774\ubd84\uc0b0\uc131\uc774 \uc874\uc7ac\ud558\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774\ubd84\uc0b0\uc131\uc740 \ubc18\uc751 \ubcc0\uc218 \uc758 \uc11c\ub85c \ub2e4\ub978 \uc218\uc900\uc5d0\uc11c \uc794\ucc28\uac00 \uace0\ub974\uc9c0 \uc54a\uac8c \ubd84\uc0b0\ub418\ub294 \uac83\uc744 \uc758\ubbf8\ud558\uba70, \uc774\ub294 \uc794\ucc28\uac00 \ubc18\uc751 \ubcc0\uc218\uc758 \uac01 \uc218\uc900\uc5d0\uc11c \ub3d9\uc77c\ud558\uac8c \ubd84\uc0b0\ub41c\ub2e4\ub294 \uac00\uc815\uc744 \uc704\ubc18\ud569\ub2c8\ub2e4. \ub2e4\uc74c \ub2e8\uacc4\ubcc4 \uc608\uc81c\uc5d0\uc11c\ub294 Python\uc5d0\uc11c White\uc758 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\uc5ec \uc8fc\uc5b4\uc9c4 \ud68c\uadc0 \ubaa8\ub378\uc5d0\uc11c \uc774\ubd84\uc0b0\uc131\uc774 \ubb38\uc81c\uc778\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. 1\ub2e8\uacc4: \ub370\uc774\ud130 \ub85c\ub4dc \uc774 \uc608\uc5d0\uc11c\ub294 mtcars [&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-2467","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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