{"id":868,"date":"2023-07-28T11:48:31","date_gmt":"2023-07-28T11:48:31","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%8c%e1%85%a1%e1%86%ab%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%84%91%e1%85%b3\/"},"modified":"2023-07-28T11:48:31","modified_gmt":"2023-07-28T11:48:31","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%8c%e1%85%a1%e1%86%ab%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%84%91%e1%85%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%8c%e1%85%a1%e1%86%ab%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%84%91%e1%85%b3\/","title":{"rendered":"Python\uc5d0\uc11c \uc794\ucc28 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\uc794\ucc28 \ub3c4\ud45c\ub294<\/strong> <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\">\ud68c\uadc0 \ubaa8\ub378<\/a> \uc758 \uc794\ucc28\uc5d0 \ub300\ud55c \uc801\ud569\uce58\ub97c \ud45c\uc2dc\ud558\ub294 \ub3c4\ud45c \uc720\ud615\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub7ec\ud55c \uc720\ud615\uc758 \ud50c\ub86f\uc740 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc774 \uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \uc801\ud569\ud55c\uc9c0 \uc5ec\ubd80\ub97c \ud3c9\uac00\ud558\uace0 \uc794\ucc28\uc758 <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<\/a> \uc744 \ud655\uc778\ud558\ub294 \ub370 \uc790\uc8fc \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc5d0 \ub300\ud55c \uc794\ucc28 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608: Python\uc758 \uc794\ucc28 \ud50c\ub86f<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc5d0\uc11c\ub294 \ub18d\uad6c \uc120\uc218 10\uba85\uc758 \uc18d\uc131\uc744 \uc124\uba85\ud558\ub294 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create dataset<\/span>\ndf = pd.DataFrame({'rating': [90, 85, 82, 88, 94, 90, 76, 75, 87, 86],\n                   'points': [25, 20, 14, 16, 27, 20, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 8, 5, 7, 6, 9, 9, 5],\n                   'rebounds': [11, 8, 10, 6, 6, 9, 6, 10, 10, 7]})\n\n<span style=\"color: #008080;\">#view dataset\n<\/span>df\n\n\trating points assists rebounds\n0 90 25 5 11\n1 85 20 7 8\n2 82 14 7 10\n3 88 16 8 6\n4 94 27 5 6\n5 90 20 7 9\n6 76 12 6 6\n7 75 15 9 10\n8 87 14 9 10\n9 86 19 5 7<\/strong><\/pre>\n<h3> <strong><span style=\"color: #000000;\">\ub2e8\uc21c \uc120\ud615 \ud68c\uadc0\ub97c \uc704\ud55c \uc794\ucc28 \ub3c4\ud45c<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\"><em>\uc810\uc744<\/em> \uc608\uce21 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uace0 <em>\ub4f1\uae09\uc744<\/em> \uc751\ub2f5 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uc5ec \uac04\ub2e8\ud55c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc801\ud569\ud558\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#import necessary libraries<\/span>\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n<span style=\"color: #107d3f;\">import<\/span> statsmodels.api <span style=\"color: #107d3f;\">as<\/span> sm\n<span style=\"color: #107d3f;\">from<\/span> statsmodels.formula.api <span style=\"color: #107d3f;\">import<\/span> ols\n\n<span style=\"color: #008080;\">#fit simple linear regression model\n<\/span>model = ols('rating ~ points', data=df). <span style=\"color: #3366ff;\">fit<\/span> ()\n\n<span style=\"color: #008080;\">#view model summary\n<\/span>print(model.summary())\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">statsmodels \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 <a href=\"https:\/\/www.statsmodels.org\/stable\/generated\/statsmodels.graphics.regressionplots.plot_regress_exog.html\" target=\"_blank\" rel=\"noopener\">plot_regress_exog() \ud568\uc218\ub97c<\/a> \uc0ac\uc6a9\ud558\uc5ec \uc794\ucc28 \ub610\ub294 \uc801\ud569 \ud50c\ub86f\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define figure size\n<\/span>fig = plt.figure(figsize=(12,8))\n\n<span style=\"color: #008080;\">#produce regression plots<\/span>\nfig = sm.graphics.plot_regress_exog(model, ' <span style=\"color: #008000;\">points<\/span> ', fig=fig)\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9430 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/residplotpython1.png\" alt=\"Python\uc758 \uc794\ucc28 \ud50c\ub86f\" width=\"624\" height=\"415\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">4\uac1c\uc758 \ud50c\ub86f\uc774 \uc0dd\uc131\ub429\ub2c8\ub2e4. \uc624\ub978\ucabd \uc0c1\ub2e8 \ubaa8\uc11c\ub9ac\uc5d0 \uc788\ub294 \uac83\uc740 \uc794\ucc28 \uadf8\ub9bc\uacfc \uc870\uc815\ub41c \uadf8\ub9bc\uc785\ub2c8\ub2e4. \uc774 \ub3c4\ud45c\uc758 x\ucd95\uc740 \uc608\uce21 \ubcc0\uc218 <em>\ud3ec\uc778\ud2b8<\/em> \uc758 \uc2e4\uc81c \uac12\uc744 \ud45c\uc2dc\ud558\uace0 y\ucd95\uc740 \ud574\ub2f9 \uac12\uc758 \uc794\ucc28\ub97c \ud45c\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc794\ucc28\uac00 0 \uc8fc\uc704\uc5d0 \ubb34\uc791\uc704\ub85c \ud769\uc5b4\uc838 \uc788\ub294 \uac83\ucc98\ub7fc \ubcf4\uc774\ubbc0\ub85c \uc774\ub294 \uc774\ubd84\uc0b0\uc131\uc774 \uc608\uce21 \ubcc0\uc218\uc5d0 \ubb38\uc81c\uac00 \ub418\uc9c0 \uc54a\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ub2e4\uc911 \uc120\ud615 \ud68c\uadc0\uc5d0 \ub300\ud55c \uc794\ucc28 \ub3c4\ud45c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub300\uc2e0 <em>\uc5b4\uc2dc\uc2a4\ud2b8<\/em> \uc640 <em>\ub9ac\ubc14\uc6b4\ub4dc\ub97c<\/em> \uc608\uce21 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uace0 <em>\ub4f1\uae09\uc744<\/em> \uc751\ub2f5 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc801\ud569\ud558\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model = ols('rating ~ assists + rebounds', data=df). <span style=\"color: #3366ff;\">fit<\/span> ()\n\n<span style=\"color: #008080;\">#view model summary\n<\/span>print(model.summary())\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc2dc \ud55c \ubc88, statsmodels \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 <a href=\"https:\/\/www.statsmodels.org\/stable\/generated\/statsmodels.graphics.regressionplots.plot_regress_exog.html\" target=\"_blank\" rel=\"noopener\">plot_regress_exog() \ud568\uc218\ub97c<\/a> \uc0ac\uc6a9\ud558\uc5ec \uac01 \uac1c\ubcc4 \uc608\uce21 \ubcc0\uc218\uc5d0 \ub300\ud55c \uc794\ucc28 \ub300 \uc608\uce21 \ubcc0\uc218 \ud50c\ub86f\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4 \uc608\uce21 \ubcc0\uc218 <em>\uc9c0\uc6d0<\/em> \uc5d0 \ub300\ud55c \uc794\ucc28\/\uc608\uce21 \ubcc0\uc218 \ub3c4\ud45c\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create residual vs. predictor plot for 'assists'\n<\/span>fig = plt.figure(figsize=(12,8))\nfig = sm.graphics.plot_regress_exog(model, ' <span style=\"color: #008000;\">assists<\/span> ', fig=fig)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9431 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/residplotpython2.png\" alt=\"\uc794\uc5ec \ub610\ub294 \uc870\uc815\ub41c \ud1a0\uc9c0\" width=\"625\" height=\"409\" srcset=\"\" sizes=\"auto, \"><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub9ac\uace0 \uc608\uce21 \ubcc0\uc218 <em>\ubc14\uc6b4\uc2a4<\/em> \uc5d0 \ub300\ud55c \uc794\ucc28\/\uc608\uce21 \ubcc0\uc218 \ub3c4\ud45c\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create residual vs. predictor plot for 'assists'\n<\/span>fig = plt.figure(figsize=(12,8))\nfig = sm.graphics.plot_regress_exog(model, ' <span style=\"color: #008000;\">rebounds<\/span> ', fig=fig)\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9432 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/residplotpython3.png\" alt=\"Python\uc758 \uc794\ucc28 \ub610\ub294 \uc870\uc815 \ud50c\ub86f\" width=\"624\" height=\"408\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\ub450 \ub3c4\ud45c \ubaa8\ub450\uc5d0\uc11c \uc794\ucc28\uac00 0 \uc8fc\uc704\uc5d0 \ubb34\uc791\uc704\ub85c \ubd84\uc0b0\ub418\uc5b4 \uc788\ub294 \uac83\uc73c\ub85c \ub098\ud0c0\ub0a9\ub2c8\ub2e4. \uc774\ub294 \uc774\ubd84\uc0b0\uc131\uc774 \ubaa8\ub378\uc758 \uc608\uce21 \ubcc0\uc218\uc5d0 \ubb38\uc81c\uac00 \ub418\uc9c0 \uc54a\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc794\ucc28 \ub3c4\ud45c\ub294 \ud68c\uadc0 \ubaa8\ub378 \uc758 \uc794\ucc28\uc5d0 \ub300\ud55c \uc801\ud569\uce58\ub97c \ud45c\uc2dc\ud558\ub294 \ub3c4\ud45c \uc720\ud615\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc720\ud615\uc758 \ud50c\ub86f\uc740 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc774 \uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \uc801\ud569\ud55c\uc9c0 \uc5ec\ubd80\ub97c \ud3c9\uac00\ud558\uace0 \uc794\ucc28\uc758 \uc774\ubd84\uc0b0\uc131 \uc744 \ud655\uc778\ud558\ub294 \ub370 \uc790\uc8fc \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc5d0 \ub300\ud55c \uc794\ucc28 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc608: Python\uc758 \uc794\ucc28 \ud50c\ub86f \uc774 \uc608\uc5d0\uc11c\ub294 \ub18d\uad6c \uc120\uc218 10\uba85\uc758 \uc18d\uc131\uc744 \uc124\uba85\ud558\ub294 \ub370\uc774\ud130 \uc138\ud2b8\ub97c [&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-868","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 \uc794\ucc28 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"Python\uc5d0\uc11c 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