{"id":2471,"date":"2023-07-22T03:00:29","date_gmt":"2023-07-22T03:00:29","guid":{"rendered":"https:\/\/statorials.org\/ko\/python%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%ae%e1%84%83%e1%85%a9%e1%84%87%e1%85%b5-%e1%84%90%e1%85%a6%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3\/"},"modified":"2023-07-22T03:00:29","modified_gmt":"2023-07-22T03:00:29","slug":"python%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%ae%e1%84%83%e1%85%a9%e1%84%87%e1%85%b5-%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%8b%e1%85%ae%e1%84%83%e1%85%a9%e1%84%87%e1%85%b5-%e1%84%90%e1%85%a6%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3\/","title":{"rendered":"Python\uc5d0\uc11c \uc6b0\ub3c4\ube44 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\uc6b0\ub3c4\ube44 \ud14c\uc2a4\ud2b8\ub294<\/strong> \ub450 \uac1c\uc758 \uc911\ucca9 <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\">\ud68c\uadc0 \ubaa8\ub378<\/a> \uc758 \uc801\ud569\ub3c4\ub97c \ube44\uad50\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ko\/\u110c\u116e\u11bc\u110e\u1165\u11b8-\u1106\u1169\u1103\u1166\u11af\/\" target=\"_blank\" rel=\"noopener\">\uc911\ucca9 \ubaa8\ub378\uc740<\/a> \ub2e8\uc21c\ud788 \uc804\uccb4 \ud68c\uadc0 \ubaa8\ub378\uc5d0\uc11c \uc608\uce21 \ubcc0\uc218\uc758 \ud558\uc704 \uc9d1\ud569\uc744 \ud3ec\ud568\ud558\ub294 \ubaa8\ub378\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4, 4\uac1c\uc758 \uc608\uce21 \ubcc0\uc218\uac00 \uc788\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ud68c\uadc0 \ubaa8\ub378\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Y = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> x <sub>1<\/sub> + \u03b2 <sub>2<\/sub> x <sub>2<\/sub> + \u03b2 <sub>3<\/sub> x <sub>3<\/sub> + \u03b2 <sub>4<\/sub> x <sub>4<\/sub> + \u03b5<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc911\ucca9 \ubaa8\ub378\uc758 \uc608\ub294 \uc6d0\ub798 \uc608\uce21 \ubcc0\uc218\uac00 2\uac1c\ub9cc \uc788\ub294 \ub2e4\uc74c \ubaa8\ub378\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Y = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> x <sub>1<\/sub> + \u03b2 <sub>2<\/sub> x <sub>2<\/sub> + \u03b5<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ub450 \ubaa8\ub378\uc774 \ud06c\uac8c \ub2e4\ub978\uc9c0 \ud655\uc778\ud558\uae30 \uc704\ud574 \ub2e4\uc74c\uacfc \uac19\uc740 \uadc0\ubb34 \uac00\uc124\uacfc \ub300\ub9bd \uac00\uc124\uc744 \uc0ac\uc6a9\ud558\ub294 \uc6b0\ub3c4 \ube44\uc728 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>0<\/sub> :<\/strong> \uc804\uccb4 \ubaa8\ub378\uacfc \uc911\ucca9 \ubaa8\ub378\uc774 \ub370\uc774\ud130\ub97c \ub3d9\uc77c\ud558\uac8c \uc798 \uc801\ud569\ud569\ub2c8\ub2e4. \ub530\ub77c\uc11c <strong>\uc911\ucca9 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud574\uc57c<\/strong> \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>H <sub>A<\/sub> :<\/strong> \uc804\uccb4 \ubaa8\ub378\uc774 \uc911\ucca9 \ubaa8\ub378\ubcf4\ub2e4 \ub370\uc774\ud130\uc5d0 \ud6e8\uc52c \ub354 \uc798 \ub9de\uc2b5\ub2c8\ub2e4. \ub530\ub77c\uc11c <strong>\uc804\uccb4 \ud15c\ud50c\ub9bf\uc744 \uc0ac\uc6a9\ud574\uc57c<\/strong> \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ud14c\uc2a4\ud2b8\uc758 <a href=\"https:\/\/statorials.org\/ko\/p-\u1100\u1161\u11b9-\u1110\u1169\u11bc\u1100\u1168\u110c\u1165\u11a8-\u110b\u1172\u110b\u1174\u1109\u1165\u11bc\/\" target=\"_blank\" rel=\"noopener\">p-\uac12\uc774<\/a> \ud2b9\uc815 \uc720\uc758 \uc218\uc900(\uc608: 0.05)\ubcf4\ub2e4 \ub0ae\uc73c\uba74 \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud558\uace0 \uc804\uccb4 \ubaa8\ub378\uc774 \ud6e8\uc52c \ub354 \ub098\uc740 \uc801\ud569\uc131\uc744 \uc81c\uacf5\ud55c\ub2e4\ub294 \uacb0\ub860\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ub2e8\uacc4\ubcc4 \uc608\uc81c\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc6b0\ub3c4 \ube44\uc728 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>1\ub2e8\uacc4: \ub370\uc774\ud130 \ub85c\ub4dc<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc5d0\uc11c\ub294 <strong>mtcars<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\uc758 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ub2e4\uc74c \ub450 \uac00\uc9c0 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uc804\uccb4 \ubaa8\ub378:<\/strong> mpg = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> \uc0ac\uc6a9 \uac00\ub2a5 + \u03b2 <sub>2<\/sub> \ud0c4\uc218\ud654\ubb3c + \u03b2 <sub>3<\/sub> hp + \u03b2 <sub>4<\/sub> \uc2e4\ub9b0\ub354<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubaa8\ub378:<\/strong> mpg = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> \uc0ac\uc6a9 \uac00\ub2a5 + \u03b2 <sub>2<\/sub> \ud0c4\uc218\ud654\ubb3c<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uba3c\uc800 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; 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;\">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<span style=\"color: #008000;\">import<\/span> scipy\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<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\uad00\ub828 \ud56d\ubaa9:<\/strong> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-csv\u1105\u1173\u11af-\u110b\u1175\u11b0\u1109\u1173\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas\ub85c CSV \ud30c\uc77c\uc744 \uc77d\ub294 \ubc29\ubc95<\/a><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>2\ub2e8\uacc4: \ud68c\uadc0 \ubaa8\ub378 \uc801\ud569<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uba3c\uc800 \uc804\uccb4 \ubaa8\ub378\uc744 \ud53c\ud305\ud558\uace0 \ubaa8\ub378\uc758 \ub85c\uadf8 \uc6b0\ub3c4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define response variable\n<\/span>y1 = data['mpg']\n\n<span style=\"color: #008080;\">#define predictor variables\n<\/span>x1 = data[['disp', 'carb', 'hp', 'cyl']]\n\n<span style=\"color: #008080;\">#add constant to predictor variables\n<\/span>x1 = sm. <span style=\"color: #3366ff;\">add_constant<\/span> (x1)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>full_model = sm. <span style=\"color: #3366ff;\">OLS<\/span> (y1,x1). <span style=\"color: #3366ff;\">fit<\/span> ()\n\n<span style=\"color: #008080;\">#calculate log-likelihood of model\n<\/span>full_ll = full_model. <span style=\"color: #3366ff;\">llf\n<\/span>\n<span style=\"color: #008000;\">print<\/span> (full_ll)\n\n-77.55789711787898\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c \ucd95\uc18c \ubaa8\ub378\uc744 \ud53c\ud305\ud558\uace0 \ubaa8\ub378\uc758 \ub85c\uadf8 \uc6b0\ub3c4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define response variable\n<\/span>y2 = data['mpg']\n\n<span style=\"color: #008080;\">#define predictor variables\n<\/span>x2 = data[['disp', 'carb']]\n\n<span style=\"color: #008080;\">#add constant to predictor variables\n<\/span>x2 = sm. <span style=\"color: #3366ff;\">add_constant<\/span> (x2)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>reduced_model = sm. <span style=\"color: #3366ff;\">OLS<\/span> (y2, x2). <span style=\"color: #3366ff;\">fit<\/span> ()\n\n<span style=\"color: #008080;\">#calculate log-likelihood of model\n<\/span>reduced_ll = reduced_model. <span style=\"color: #3366ff;\">llf\n<\/span>\n<span style=\"color: #008000;\">print<\/span> (reduced_ll)\n\n-78.60301334355185\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: \ub85c\uadf8 \uc6b0\ub3c4 \uac80\uc815 \uc218\ud589<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c \ud0c0\ub2f9\uc131 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\uae30 \uc704\ud574 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#calculate likelihood ratio Chi-Squared test statistic<\/span>\nLR_statistic = -2 <span style=\"color: #800080;\">*<\/span> (reduced_ll-full_ll)\n\n<span style=\"color: #008000;\">print<\/span> (LR_statistic)\n\n2.0902324513457415\n\n<span style=\"color: #008080;\">#calculate p-value of test statistic using 2 degrees of freedom\n<\/span>p_val = scipy. <span style=\"color: #3366ff;\">stats<\/span> . <span style=\"color: #3366ff;\">chi2<\/span> . <span style=\"color: #3366ff;\">sf<\/span> (LR_statistic, 2)\n\n<span style=\"color: #008000;\">print<\/span> (p_val)\n\n0.35165094613502257\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c \uce74\uc774\uc81c\uacf1 \uac80\uc815 \ud1b5\uacc4\ub7c9\uc740 <strong>2.0902<\/strong> \uc774\uace0<\/span> <span style=\"color: #000000;\">\ud574\ub2f9 p-\uac12\uc740 <strong>0.3517<\/strong> \uc784\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 p-\uac12\uc740 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 \uc804\uccb4 \ubaa8\ub378\uacfc \uc911\ucca9 \ubaa8\ub378\uc774 \ub370\uc774\ud130\uc5d0 \ub3d9\uc77c\ud558\uac8c \uc798 \uc801\ud569\ud558\ub2e4\ub294 \uac83\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. \ub530\ub77c\uc11c \uc804\uccb4 \ubaa8\ub378\uc758 \ucd94\uac00 \uc608\uce21 \ubcc0\uc218\uac00 \uc801\ud569\ub3c4\ub97c \ud06c\uac8c \ud5a5\uc0c1\uc2dc\ud0a4\uc9c0 \ubabb\ud558\ubbc0\ub85c \uc911\ucca9 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub530\ub77c\uc11c \ucd5c\uc885 \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">mpg = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> \uc0ac\uc6a9 \uac00\ub2a5 + \u03b2 <sub>2<\/sub> \ud0c4\uc218\ud654\ubb3c<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : p-\uac12\uc744 \uacc4\uc0b0\ud560 \ub54c 2 \uc790\uc720\ub3c4\ub97c \uc0ac\uc6a9\ud588\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ub450 \ubaa8\ub378 \uac04\uc5d0 \uc0ac\uc6a9\ub41c \uc804\uccb4 \uc608\uce21 \ubcc0\uc218\uc758 \ucc28\uc774\ub97c \ub098\ud0c0\ub0b4\uae30 \ub54c\ubb38\uc785\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\uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\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\/\u1103\u1161\u1112\u1161\u11bc\u1109\u1175\u11a8-\u1112\u116c\u1100\u1171-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c \ub2e4\ud56d\uc2dd \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1105\u1169\u110c\u1175\u1109\u1173\u1110\u1175\u11a8-\u1112\u116c\u1100\u1171-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc6b0\ub3c4\ube44 \ud14c\uc2a4\ud2b8\ub294 \ub450 \uac1c\uc758 \uc911\ucca9 \ud68c\uadc0 \ubaa8\ub378 \uc758 \uc801\ud569\ub3c4\ub97c \ube44\uad50\ud569\ub2c8\ub2e4. \uc911\ucca9 \ubaa8\ub378\uc740 \ub2e8\uc21c\ud788 \uc804\uccb4 \ud68c\uadc0 \ubaa8\ub378\uc5d0\uc11c \uc608\uce21 \ubcc0\uc218\uc758 \ud558\uc704 \uc9d1\ud569\uc744 \ud3ec\ud568\ud558\ub294 \ubaa8\ub378\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, 4\uac1c\uc758 \uc608\uce21 \ubcc0\uc218\uac00 \uc788\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ud68c\uadc0 \ubaa8\ub378\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. Y = \u03b2 0 + \u03b2 1 x 1 + \u03b2 2 x 2 + \u03b2 3 x 3 + \u03b2 [&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-2471","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>Python\uc5d0\uc11c \uc6b0\ub3c4\ube44 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc804\uccb4 \uc608\uc81c\uc640 \ud568\uaed8 Python\uc5d0\uc11c \uc6b0\ub3c4 \ube44\uc728 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\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\/python\u110b\u1174-\u110b\u116e\u1103\u1169\u1107\u1175-\u1110\u1166\u1109\u1173\u1110\u1173\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc5d0\uc11c \uc6b0\ub3c4\ube44 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95 - 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