{"id":1149,"date":"2023-07-27T12:04:19","date_gmt":"2023-07-27T12:04:19","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%8b%e1%85%b4-%e1%84%80%e1%85%a1%e1%86%ab%e1%84%83%e1%85%a1%e1%86%ab%e1%84%92%e1%85%a1%e1%86%ab-%e1%84%89%e1%85%a5%e1%86%ab%e1%84%92\/"},"modified":"2023-07-27T12:04:19","modified_gmt":"2023-07-27T12:04:19","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%b4-%e1%84%80%e1%85%a1%e1%86%ab%e1%84%83%e1%85%a1%e1%86%ab%e1%84%92%e1%85%a1%e1%86%ab-%e1%84%89%e1%85%a5%e1%86%ab%e1%84%92","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%8b%e1%85%b4-%e1%84%80%e1%85%a1%e1%86%ab%e1%84%83%e1%85%a1%e1%86%ab%e1%84%92%e1%85%a1%e1%86%ab-%e1%84%89%e1%85%a5%e1%86%ab%e1%84%92\/","title":{"rendered":"Python\uc5d0\uc11c \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95(\ub2e8\uacc4\ubcc4)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ko\/\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171-1\/\" target=\"_blank\" rel=\"noopener noreferrer\">\ub2e8\uc21c \uc120\ud615 \ud68c\uadc0\ub294<\/a> \ub2e8\uc77c <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 noreferrer\">\uc124\uba85 \ubcc0\uc218<\/a> \uc640 \ub2e8\uc77c <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 noreferrer\">\uc751\ub2f5 \ubcc0\uc218<\/a> \uac04\uc758 \uad00\uacc4\ub97c \uc774\ud574\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uae30\uc220\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uae30\uc220\uc740 \ub370\uc774\ud130\uc5d0 \uac00\uc7a5 \uc798 \ub9de\ub294 \uc120\uc744 \ucc3e\uace0 \ub2e4\uc74c \ud615\uc2dd\uc744 \ucde8\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0177 = <sub>b0<\/sub> + <sub>b1x<\/sub><\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u0177<\/strong> : \uc608\uc0c1\ub41c \ubc18\uc751\uac12<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>b <sub>0<\/sub><\/strong> : \ud68c\uadc0\uc120\uc758 \uc6d0\uc810<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>b <sub>1<\/sub><\/strong> : \ud68c\uadc0\uc120\uc758 \uae30\uc6b8\uae30<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc774 \ubc29\uc815\uc2dd\uc740 \uc124\uba85 \ubcc0\uc218\uc640 \uc751\ub2f5 \ubcc0\uc218 \uc0ac\uc774\uc758 \uad00\uacc4\ub97c \uc774\ud574\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub420 \uc218 \uc788\uc73c\uba70 (\ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud558\ub2e4\uace0 \uac00\uc815\ud558\uba74) \uc124\uba85 \ubcc0\uc218\uc758 \uac12\uc774 \uc8fc\uc5b4\uc9c4 \uacbd\uc6b0 \uc751\ub2f5 \ubcc0\uc218\uc758 \uac12\uc744 \uc608\uce21\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uac04\ub2e8\ud55c \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \ub2e8\uacc4\ubcc4 \uc124\uba85\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><b>1\ub2e8\uacc4: \ub370\uc774\ud130 \ub85c\ub4dc<\/b><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc5d0\uc11c\ub294 15\uba85\uc758 \ud559\uc0dd\uc5d0 \ub300\ud574 \ub2e4\uc74c \ub450 \uac00\uc9c0 \ubcc0\uc218\uac00 \ud3ec\ud568\ub41c \uac00\uc9dc \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ud2b9\uc815 \uc2dc\ud5d8\uc744 \uc704\ud574 \uacf5\ubd80\ud55c \ucd1d \uc2dc\uac04<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc2dc\ud5d8 \uacb0\uacfc<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc6b0\ub9ac\ub294 <em>\uc2dc\uac04\uc744<\/em> \uc124\uba85 \ubcc0\uc218\ub85c, <em>\uac80\uc0ac \uacb0\uacfc\ub97c<\/em> \ubc18\uc751 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uc5ec \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\ub824\uace0 \uc2dc\ub3c4\ud560 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 Python\uc5d0\uc11c \uc774 \uac00\uc9dc \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n#create dataset<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #993300;\">hours<\/span> ': [1, 2, 4, 5, 5, 6, 6, 7, 8, 10, 11, 11, 12, 12, 14],\n                   ' <span style=\"color: #993300;\">score<\/span> ': [64, 66, 76, 73, 74, 81, 83, 82, 80, 88, 84, 82, 91, 93, 89]})\n      \n\n<span style=\"color: #008080;\">#view first six rows of dataset\n<\/span>df[0:6]\n\n    hours score\n0 1 64\n1 2 66\n2 4 76\n3 5 73\n4 5 74\n5 6 81\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><b>2\ub2e8\uacc4: \ub370\uc774\ud130 \uc2dc\uac01\ud654<\/b><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e8\uc21c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \ud53c\ud305\ud558\uae30 \uc804\uc5d0 \uba3c\uc800 \ub370\uc774\ud130\ub97c \uc2dc\uac01\ud654\ud558\uc5ec \uc774\ud574\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uccab\uc9f8, <em>\uc2dc\uac04<\/em> \uacfc <em>\uc810\uc218<\/em> \uc0ac\uc774\uc758 \uad00\uacc4\uac00 \ub300\ub7b5 \uc120\ud615\uc778\uc9c0 \ud655\uc778\ud558\ub824\uace0 \ud569\ub2c8\ub2e4. \uc774\ub294 \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0\uc758 <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 noreferrer\">\uae30\ubcf8 \uac00\uc815<\/a> \uc774\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub450 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc2dc\uac01\ud654\ud558\uae30 \uc704\ud574 \uac04\ub2e8\ud55c \uc0b0\uc810\ub3c4\ub97c \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib.pyplot <span style=\"color: #008000;\">as<\/span> plt\n\nplt. <span style=\"color: #3366ff;\">scatter<\/span> (df.hours, df.score)\nplt. <span style=\"color: #3366ff;\">title<\/span> (' <span style=\"color: #008000;\">Hours studied vs. Exam Score<\/span> ')\nplt. <span style=\"color: #3366ff;\">xlabel<\/span> (' <span style=\"color: #008000;\">Hours<\/span> ')\nplt. <span style=\"color: #3366ff;\">ylabel<\/span> (' <span style=\"color: #008000;\">Score<\/span> ')\nplt. <span style=\"color: #3366ff;\">show<\/span> ()\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11539\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/simpleregpython1.png\" alt=\"Python\uc758 \ud3ec\uc778\ud2b8 \ud074\ub77c\uc6b0\ub4dc\" width=\"421\" height=\"297\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub798\ud504\ub97c \ubcf4\uba74 \uad00\uacc4\uac00 \uc120\ud615\uc73c\ub85c \ub098\ud0c0\ub098\ub294 \uac83\uc744 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4. <em>\uc2dc\uac04\uc774<\/em> \uc99d\uac00\ud568\uc5d0 \ub530\ub77c <em>\uc810\uc218<\/em> \ub3c4 \uc120\ud615\uc801\uc73c\ub85c \uc99d\uac00\ud558\ub294 \uacbd\ud5a5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub7f0 \ub2e4\uc74c \uc0c1\uc790 \uadf8\ub9bc\uc744 \ub9cc\ub4e4\uc5b4 \uc2dc\ud5d8 \uacb0\uacfc \ubd84\ud3ec\ub97c \uc2dc\uac01\ud654\ud558\uace0 <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1175\u1109\u1161\u11bc\u1100\u1161\u11b9-\u110c\u1166\u1100\u1165-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener noreferrer\">\uc774\uc0c1\uac12\uc744<\/a> \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uae30\ubcf8\uc801\uc73c\ub85c Python\uc740 \uad00\uce21\uce58\uac00 \uc138 \ubc88\uc9f8 \uc0ac\ubd84\uc704\uc218(Q3) \uc704 \uc0ac\ubd84\uc704\uc218 \ubc94\uc704\uc758 1.5\ubc30\uc774\uac70\ub098 \uccab \ubc88\uc9f8 \uc0ac\ubd84\uc704\uc218(Q1) \uc544\ub798 \uc0ac\ubd84\uc704\uc218 \ubc94\uc704\uc758 1.5\ubc30\uc778 \uacbd\uc6b0 \uad00\uce21\uce58\ub97c \uc774\uc0c1\uac12\uc73c\ub85c \uc815\uc758\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uad00\uce21\uce58\uac00 \uc774\uc0c1\uce58\uc778 \uacbd\uc6b0 \uc0c1\uc790 \uadf8\ub9bc\uc5d0 \uc791\uc740 \uc6d0\uc774 \ub098\ud0c0\ub0a9\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">boxplot<\/span> (column=[' <span style=\"color: #008000;\">score<\/span> '])<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11540 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/simpleregpython2.png\" alt=\"Python\uc758 \uc0c1\uc790 \uadf8\ub9bc\" width=\"374\" height=\"247\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uc0c1\uc790 \uadf8\ub9bc\uc5d0\ub294 \uc791\uc740 \uc6d0\uc774 \uc5c6\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ub370\uc774\ud130\uc138\ud2b8\uc5d0 \uc774\uc0c1\uac12\uc774 \uc5c6\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><b>3\ub2e8\uacc4: \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0 \uc218\ud589<\/b><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ubcc0\uc218 \uac04\uc758 \uad00\uacc4\uac00 \uc120\ud615\uc774\uace0 \uc774\uc0c1\uac12\uc774 \uc5c6\uc74c\uc744 \ud655\uc778\ud55c \ud6c4\uc5d0\ub294 <em>\uc2dc\uac04\uc744<\/em> \uc124\uba85 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uace0 <em>\uc810\uc218\ub97c<\/em> \uc751\ub2f5 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uc5ec \uac04\ub2e8\ud55c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc801\ud569\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <em>\ucc38\uace0: <span style=\"color: #000000;\">\ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\uae30 \uc704\ud574 statsmodels \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758<\/span> <a href=\"https:\/\/www.statsmodels.org\/devel\/generated\/statsmodels.regression.linear_model.OLS.html\" target=\"_blank\" rel=\"noopener noreferrer\">OLS() \ud568\uc218\ub97c<\/a> <span style=\"color: #000000;\"><strong>\uc0ac\uc6a9<\/strong> \ud569\ub2c8\ub2e4<\/span> .<\/em><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> statsmodels.api <span style=\"color: #008000;\">as<\/span> sm\n\n<span style=\"color: #008080;\">#define response variable\n<\/span>y = df[' <span style=\"color: #008000;\">score<\/span> ']\n\n<span style=\"color: #008080;\">#define explanatory variable\n<\/span>x = df[[' <span style=\"color: #008000;\">hours<\/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 linear regression model\n<\/span>model = sm. <span style=\"color: #3366ff;\">OLS<\/span> (y,x). <span style=\"color: #3366ff;\">fit<\/span> ()\n\n<span style=\"color: #008080;\">#view model summary\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">model.summary<\/span> ())\n\n                            OLS Regression Results                            \n==================================================== ============================\nDept. Variable: R-squared score: 0.831\nModel: OLS Adj. R-squared: 0.818\nMethod: Least Squares F-statistic: 63.91\nDate: Mon, 26 Oct 2020 Prob (F-statistic): 2.25e-06\nTime: 15:51:45 Log-Likelihood: -39,594\nNo. Observations: 15 AIC: 83.19\nDf Residuals: 13 BIC: 84.60\nModel: 1                                         \nCovariance Type: non-robust                                         \n==================================================== ============================\n                 coef std err t P&gt;|t| [0.025 0.975]\n-------------------------------------------------- ----------------------------\nconst 65.3340 2.106 31.023 0.000 60.784 69.884\nhours 1.9824 0.248 7.995 0.000 1.447 2.518\n==================================================== ============================\nOmnibus: 4,351 Durbin-Watson: 1,677\nProb(Omnibus): 0.114 Jarque-Bera (JB): 1.329\nSkew: 0.092 Prob(JB): 0.515\nKurtosis: 1.554 Cond. No. 19.2\n==================================================== ============================<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ubaa8\ub378 \uc694\uc57d\uc5d0\uc11c \uc801\ud569 \ud68c\uadc0 \ubc29\uc815\uc2dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uc810\uc218 = 65.334 + 1.9824*(\uc2dc\uac04)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub294 \uacf5\ubd80\ud55c \uc2dc\uac04\uc774 \ucd94\uac00\ub420 \ub54c\ub9c8\ub2e4 \ud3c9\uade0 \uc2dc\ud5d8 \uc810\uc218\uac00 <strong>1.9824<\/strong> \uc810 \uc99d\uac00\ud55c\ub2e4\ub294 \uac83\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. \uadf8\ub9ac\uace0 \uc6d0\ub798 \uac12 <strong>65,334<\/strong> \ub294 0\uc2dc\uac04 \uacf5\ubd80\ud558\ub294 \ud559\uc0dd\uc758 \ud3c9\uade0 \uc608\uc0c1 \uc2dc\ud5d8 \uc810\uc218\ub97c \uc54c\ub824\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c \uc774 \ubc29\uc815\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud559\uc0dd\uc774 \uacf5\ubd80\ud558\ub294 \uc2dc\uac04\uc744 \uae30\uc900\uc73c\ub85c \uc608\uc0c1 \uc2dc\ud5d8 \uc810\uc218\ub97c \ucc3e\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, 10\uc2dc\uac04 \ub3d9\uc548 \uacf5\ubd80\ud55c \ud559\uc0dd\uc740 \uc2dc\ud5d8 \uc810\uc218 <strong>85.158<\/strong> \uc744 \ud68d\ub4dd\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uc810\uc218 = 65.334 + 1.9824*(10) = 85.158<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubaa8\ub378 \uc694\uc57d\uc758 \ub098\uba38\uc9c0 \ubd80\ubd84\uc744 \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\ud53c&gt;|\ud2f0| :<\/strong> \ubaa8\ub378 \uacc4\uc218\uc640 \uc5f0\uad00\ub41c p-\uac12\uc785\ub2c8\ub2e4. <em>\uc2dc\uac04<\/em> \uc5d0 \ub300\ud55c p-\uac12(0.000)\uc774 0.05\ubcf4\ub2e4 \ud6e8\uc52c \uc791\uc73c\ubbc0\ub85c <em>\uc2dc\uac04<\/em> \uacfc <em>\uc810\uc218<\/em> \uc0ac\uc774\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \uc5f0\uad00\uc131\uc774 \uc788\ub2e4\uace0 \ub9d0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>R-\uc81c\uacf1:<\/strong> \uc774 \uc22b\uc790\ub294 \uc2dc\ud5d8 \uc810\uc218\uc758 \ubcc0\ub3d9 \ube44\uc728\uc774 \uacf5\ubd80\ud55c \uc2dc\uac04\uc73c\ub85c \uc124\uba85\ub420 \uc218 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \ud68c\uadc0 \ubaa8\ub378\uc758 R-\uc81c\uacf1 \uac12\uc774 \ud074\uc218\ub85d \uc124\uba85 \ubcc0\uc218\uac00 \uc751\ub2f5 \ubcc0\uc218\uc758 \uac12\uc744 \ub354 \uc798 \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uacbd\uc6b0 \uc810\uc218 \ubcc0\ub3d9\uc758 <strong>83.1%\uac00<\/strong> \uacf5\ubd80 \uc2dc\uac04\uc73c\ub85c \uc124\uba85\ub429\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>F-\ud1b5\uacc4\ub7c9 \ubc0f p-\uac12:<\/strong> F-\ud1b5\uacc4\ub7c9( <strong>63.91<\/strong> )\uacfc \ud574\ub2f9 p-\uac12( <strong>2.25e-06<\/strong> )\uc740 \ud68c\uadc0 \ubaa8\ub378\uc758 \uc804\ubc18\uc801\uc778 \uc911\uc694\uc131, \uc989 \ubaa8\ub378\uc758 \uc124\uba85 \ubcc0\uc218\uac00 \ubcc0\ub3d9\uc744 \uc124\uba85\ud558\ub294 \ub370 \uc720\uc6a9\ud55c\uc9c0 \uc5ec\ubd80\ub97c \uc54c\ub824\uc90d\ub2c8\ub2e4. . \uc751\ub2f5 \ubcc0\uc218\uc5d0\uc11c. \uc774 \uc608\uc758 p-\uac12\uc740 0.05 \ubbf8\ub9cc\uc774\ubbc0\ub85c \ubaa8\ub378\uc774 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud558\uba70 <em>\uc2dc\uac04\uc740<\/em> <em>\uc810\uc218<\/em> \ubcc0\ud654\ub97c \uc124\uba85\ud558\ub294 \ub370 \uc720\uc6a9\ud55c \uac83\uc73c\ub85c \uac04\uc8fc\ub429\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>4\ub2e8\uacc4: \uc794\ucc28 \ub3c4\ud45c \uc0dd\uc131<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e8\uc21c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub370\uc774\ud130\uc5d0 \ub9de\ucd98 \ud6c4 \ub9c8\uc9c0\ub9c9 \ub2e8\uacc4\ub294 \uc794\ucc28 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc120\ud615 \ud68c\uadc0 \ubd84\uc11d\uc758 \uc8fc\uc694 \uac00\uc815 \uc911 \ud558\ub098\ub294 \ud68c\uadc0 \ubaa8\ub378\uc758 \uc794\ucc28\uac00 \ub300\ub7b5 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\uace0 \uc124\uba85 \ubcc0\uc218\uc758 \uac01 \uc218\uc900\uc5d0\uc11c <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 noreferrer\">\ub4f1\ubd84\uc0b0\uc801<\/a> \uc774\ub77c\ub294 \uac83\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uac00\uc815\uc774 \ucda9\uc871\ub418\uc9c0 \uc54a\uc73c\uba74 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacb0\uacfc\uac00 \uc624\ud574\uc758 \uc18c\uc9c0\uac00 \uc788\uac70\ub098 \uc2e0\ub8b0\ud560 \uc218 \uc5c6\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub7ec\ud55c \uac00\uc815\uc774 \ucda9\uc871\ub418\ub294\uc9c0 \ud655\uc778\ud558\uae30 \uc704\ud574 \ub2e4\uc74c\uacfc \uac19\uc740 \uc794\ucc28 \uadf8\ub9bc\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uc794\ucc28 \ub300 \uc801\ud569\uce58 \ub3c4\ud45c:<\/strong> \uc774 \ub3c4\ud45c\ub294 \ub4f1\ubd84\uc0b0\uc131\uc744 \ud655\uc778\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4. x\ucd95\uc740 \uc801\ud569\uce58\ub97c \ud45c\uc2dc\ud558\uace0 y\ucd95\uc740 \uc794\ucc28\ub97c \ud45c\uc2dc\ud569\ub2c8\ub2e4. \uc794\ucc28\uac00 0 \uac12\uc744 \uc911\uc2ec\uc73c\ub85c \uadf8\ub798\ud504 \uc804\uccb4\uc5d0 \ubb34\uc791\uc704\ub85c \uade0\uc77c\ud558\uac8c \ubd84\ud3ec\ub418\uc5b4 \uc788\ub294 \uac83\ucc98\ub7fc \ubcf4\uc774\ub294 \ud55c \ub4f1\ubd84\uc0b0\uc131\uc774 \uc704\ubc18\ub418\uc9c0 \uc54a\ub294\ub2e4\uace0 \uac00\uc815\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. <span style=\"color: #3366ff;\">figure<\/span> (figsize=(12.8))\n\n<span style=\"color: #008080;\">#produce residual plots\n<\/span>fig = sm.graphics. <span style=\"color: #3366ff;\">plot_regress_exog<\/span> (model, ' <span style=\"color: #008000;\">hours<\/span> ', fig=fig)\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11541 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/simpleregpython3.png\" alt=\"Python\uc758 \uc794\ucc28 \ud50c\ub86f\" width=\"665\" height=\"442\" 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 \uc124\uba85 \ubcc0\uc218\uc5d0 \ubb38\uc81c\uac00 \ub418\uc9c0 \uc54a\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>QQ \ud50c\ub86f:<\/strong> \uc774 \ud50c\ub86f\uc740 \uc794\ucc28\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\ub294\uc9c0 \uc5ec\ubd80\ub97c \uacb0\uc815\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4. \ud50c\ub86f\uc758 \ub370\uc774\ud130 \uac12\uc774 \ub300\ub7b5 45\ub3c4 \uac01\ub3c4\uc758 \uc9c1\uc120\uc744 \ub530\ub974\ub294 \uacbd\uc6b0 \ub370\uc774\ud130\ub294 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub985\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define residuals\n<\/span>res = model. <span style=\"color: #3366ff;\">reside<\/span>\n\n<span style=\"color: #008080;\">#create QQ plot\n<\/span>fig = sm. <span style=\"color: #3366ff;\">qqplot<\/span> (res, fit= <span style=\"color: #008000;\">True<\/span> , line=\" <span style=\"color: #008000;\">45<\/span> \")\nplt.show() \n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11542 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/simpleregpython4.png\" alt=\"Python\uc758 QQ \ud50c\ub86f\" width=\"415\" height=\"277\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uc794\ucc28\ub294 45\ub3c4 \uc120\uc5d0\uc11c \uc57d\uac04 \ubc97\uc5b4\ub098 \uc788\uc9c0\ub9cc \uc2ec\uac01\ud55c \uc6b0\ub824\ub97c \ubd88\ub7ec\uc77c\uc73c\ud0ac \uc815\ub3c4\ub294 \uc544\ub2d9\ub2c8\ub2e4. \uc815\uaddc\uc131 \uac00\uc815\uc774 \ucda9\uc871\ub41c\ub2e4\uace0 \uac00\uc815\ud560 \uc218 \uc788\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc794\ucc28\ub294 \uc815\uaddc\ubd84\ud3ec \ubc0f \ub4f1\ubd84\uc0b0\uc131\uc744 \ub098\ud0c0\ub0b4\ubbc0\ub85c \ub2e8\uc21c\uc120\ud615\ud68c\uadc0\ubaa8\ud615\uc758 \uac00\uc815\uc774 \ub9cc\uc871\ub428\uc744 \ud655\uc778\ud558\uc600\ub2e4. \ub530\ub77c\uc11c \uc6b0\ub9ac \ubaa8\ub378\uc758 \ucd9c\ub825\uc740 \uc2e0\ub8b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><em>\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0 \uc0ac\uc6a9\ub41c \uc804\uccb4 Python \ucf54\ub4dc\ub294 <a href=\"https:\/\/github.com\/Statorials\/Python-Guides\/blob\/main\/simple_linear_regression.py\" target=\"_blank\" rel=\"noopener noreferrer\">\uc5ec\uae30\uc5d0\uc11c<\/a> \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e8\uc21c \uc120\ud615 \ud68c\uadc0\ub294 \ub2e8\uc77c \uc124\uba85 \ubcc0\uc218 \uc640 \ub2e8\uc77c \uc751\ub2f5 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc774\ud574\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uc774 \uae30\uc220\uc740 \ub370\uc774\ud130\uc5d0 \uac00\uc7a5 \uc798 \ub9de\ub294 \uc120\uc744 \ucc3e\uace0 \ub2e4\uc74c \ud615\uc2dd\uc744 \ucde8\ud569\ub2c8\ub2e4. \u0177 = b0 + b1x \uae08: \u0177 : \uc608\uc0c1\ub41c \ubc18\uc751\uac12 b 0 : \ud68c\uadc0\uc120\uc758 \uc6d0\uc810 b 1 : \ud68c\uadc0\uc120\uc758 \uae30\uc6b8\uae30 \uc774 \ubc29\uc815\uc2dd\uc740 \uc124\uba85 \ubcc0\uc218\uc640 \uc751\ub2f5 \ubcc0\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-1149","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 \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95(\ub2e8\uacc4\ubcc4)<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e8\uacc4\ubcc4 \uc608\uc81c\ub97c \ud1b5\ud574 Python\uc5d0\uc11c \uac04\ub2e8\ud55c \uc120\ud615 \ud68c\uadc0\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 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