{"id":40790,"date":"2024-11-04T12:20:31","date_gmt":"2024-11-04T12:20:31","guid":{"rendered":"https:\/\/atmokpo.com\/w\/?p=40790"},"modified":"2024-11-26T06:38:26","modified_gmt":"2024-11-26T06:38:26","slug":"27-%ed%9a%8c%ea%b7%80-%eb%b6%84%ec%84%9dregression-analysis-%ed%9a%8c%ea%b7%80-%eb%b6%84%ec%84%9d%ec%9d%84-%ed%86%b5%ed%95%9c-%ec%98%88%ec%b8%a1-%eb%aa%a8%eb%8d%b8-%ea%b5%ac%ec%b6%95","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/40790\/","title":{"rendered":"27.\ud68c\uadc0 \ubd84\uc11d(Regression Analysis), \ud68c\uadc0 \ubd84\uc11d\uc744 \ud1b5\ud55c \uc608\uce21 \ubaa8\ub378 \uad6c\ucd95"},"content":{"rendered":"<p>\ud68c\uadc0 \ubd84\uc11d(Regression Analysis)\uc740 \uc8fc\uc5b4\uc9c4 \uc790\ub8cc\ub97c \uae30\ubc18\uc73c\ub85c \ud55c \ud1b5\uacc4\uc801 \ubc29\ubc95\uc73c\ub85c, \ubcc0\uc218\ub4e4 \uac04\uc758 \uad00\uacc4\ub97c \ubaa8\ub378\ub9c1\ud558\uace0 \uc608\uce21\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ud68c\uadc0 \ubd84\uc11d\uc740 \ud1b5\uacc4\ud559, \uba38\uc2e0\ub7ec\ub2dd, \ub370\uc774\ud130 \uacfc\ud559 \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uc911\uc694\ud558\uac8c \uc0ac\uc6a9\ub418\ub294 \uae30\uc220\ub85c, \uc774\ub97c \ud1b5\ud574 \uc6b0\ub9ac\ub294 \ub2e4\uc591\ud55c \ud604\uc0c1\uc744 \uc774\ud574\ud558\uace0 \ubbf8\ub798\uc758 \uacb0\uacfc\ub97c \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud68c\uadc0 \ubd84\uc11d\uc758 \uae30\ubcf8 \uac1c\ub150\ubd80\ud130 \ub2e4\uc591\ud55c \ubc29\ubc95\ub860, \uc2e4\uc81c \uc608\uc81c \ubc0f \uc608\uce21 \ubaa8\ub378 \uad6c\ucd95 \uacfc\uc815\uae4c\uc9c0 \uc2ec\ub3c4 \uc788\uac8c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \ud68c\uadc0 \ubd84\uc11d\uc758 \uae30\ubcf8 \uac1c\ub150<\/h2>\n<p>\ud68c\uadc0 \ubd84\uc11d\uc740 \uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c \ub3c5\ub9bd \ubcc0\uc218(\uc124\uba85 \ubcc0\uc218)\uc640 \uc885\uc18d \ubcc0\uc218(\ubc18\uc751 \ubcc0\uc218) \uac04\uc758 \uad00\uacc4\ub97c \ubd84\uc11d\ud558\ub294 \ud1b5\uacc4 \uae30\uc220\uc785\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc6b0\ub9ac\ub294 \ub3c5\ub9bd \ubcc0\uc218\uac00 \uc885\uc18d \ubcc0\uc218\uc5d0 \ubbf8\uce58\ub294 \uc601\ud5a5\uc744 \uc774\ud574\ud560 \uc218 \uc788\uc73c\uba70, \uadf8 \uad00\uacc4\ub97c \uc218\ud559\uc801\uc73c\ub85c \ubaa8\ub378\ub9c1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \ud68c\uadc0 \ubd84\uc11d\uc5d0\uc11c\ub294 \uac00\uc7a5 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ubaa8\ub378\uc778 \uc120\ud615 \ud68c\uadc0(Linear Regression)\ubd80\ud130 \uc2dc\uc791\ud569\ub2c8\ub2e4.<\/p>\n<h3>1.1. \uc120\ud615 \ud68c\uadc0 \ubd84\uc11d<\/h3>\n<p>\uc120\ud615 \ud68c\uadc0 \ubd84\uc11d\uc758 \uae30\ubcf8 \uc544\uc774\ub514\uc5b4\ub294 \ub3c5\ub9bd \ubcc0\uc218\uc640 \uc885\uc18d \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\uac00 \uc120\ud615\uc801(linear)\uc774\ub77c\ub294 \uac00\uc815\uc785\ub2c8\ub2e4. \uc120\ud615 \ud68c\uadc0 \ubd84\uc11d\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \ud615\ud0dc\uc758 \uc218\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 \uad6c\ucd95\ud569\ub2c8\ub2e4:<\/p>\n<p><strong>y = \u03b2<sub>0<\/sub> + \u03b2<sub>1<\/sub>x<sub>1<\/sub> + \u03b2<sub>2<\/sub>x<sub>2<\/sub> + &#8230; + \u03b2<sub>n<\/sub>x<sub>n<\/sub> + \u03b5<\/strong><\/p>\n<p>\uc5ec\uae30\uc11c:<\/p>\n<ul>\n<li><strong>y<\/strong>: \uc885\uc18d \ubcc0\uc218<\/li>\n<li><strong>\u03b2<sub>0<\/sub><\/strong>: y\uc808\ud3b8 (Intercept)<\/li>\n<li><strong>\u03b2<sub>1<\/sub>, \u03b2<sub>2<\/sub>, &#8230;, \u03b2<sub>n<\/sub><\/strong>: \ud68c\uadc0 \uacc4\uc218 (Coefficients)<\/li>\n<li><strong>x<sub>1<\/sub>, x<sub>2<\/sub>, &#8230;, x<sub>n<\/sub><\/strong>: \ub3c5\ub9bd \ubcc0\uc218<\/li>\n<li><strong>\u03b5<\/strong>: \uc624\ucc28 \ud56d (Error term)<\/li>\n<\/ul>\n<p>\uc120\ud615 \ud68c\uadc0 \ubd84\uc11d\uc758 \ubaa9\uc801\uc740 \uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130\uc5d0 \uac00\uc7a5 \uc801\ud569\ud55c \ud68c\uadc0 \uc9c1\uc120\uc744 \ucc3e\uc544\ub0b4\uc5b4 \ud68c\uadc0 \uacc4\uc218(\u03b2<sub>0<\/sub>, \u03b2<sub>1<\/sub>, &#8230;, \u03b2<sub>n<\/sub>)\ub97c \ucd94\uc815\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc608\uce21\uac12\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>1.2. \ud68c\uadc0 \ubd84\uc11d\uc758 \uc885\ub958<\/h3>\n<p>\ud68c\uadc0 \ubd84\uc11d\uc740 \ud06c\uac8c \ub450 \uac00\uc9c0\ub85c \ub098\ub20c \uc218 \uc788\uc2b5\ub2c8\ub2e4: \ub2e8\uc21c \ud68c\uadc0(Simple Regression)\uc640 \ub2e4\uc911 \ud68c\uadc0(Multiple Regression).<\/p>\n<ul>\n<li><strong>\ub2e8\uc21c \ud68c\uadc0<\/strong>: \ud558\ub098\uc758 \ub3c5\ub9bd \ubcc0\uc218\uc640 \ud558\ub098\uc758 \uc885\uc18d \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \ubd84\uc11d\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ub2e4\uc911 \ud68c\uadc0<\/strong>: \ub450 \uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd \ubcc0\uc218\uac00 \uc885\uc18d \ubcc0\uc218\uc5d0 \ubbf8\uce58\ub294 \uc601\ud5a5\uc744 \ubd84\uc11d\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>2. \ud68c\uadc0 \ubd84\uc11d\uc758 \ub2e8\uacc4<\/h2>\n<p>\ud68c\uadc0 \ubd84\uc11d\uc744 \uc218\ud589\ud558\uae30 \uc704\ud574\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e8\uacc4\ub97c \ub530\ub974\ub294 \uac83\uc774 \uc77c\ubc18\uc801\uc785\ub2c8\ub2e4:<\/p>\n<h3>2.1. \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\n<p>\ud68c\uadc0 \ubd84\uc11d\uc744 \uc218\ud589\ud558\uae30 \uc704\ud574\uc11c\ub294 \uba3c\uc800 \uad00\ub828 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc218\uc9d1\ud574\uc57c \ud569\ub2c8\ub2e4. \ub370\uc774\ud130 \uc218\uc9d1 \ubc29\ubc95\uc740 \uc124\ubb38 \uc870\uc0ac, \uad00\uce21, \uc2e4\ud5d8 \ub4f1\uc744 \ud1b5\ud574 \uc774\ub8e8\uc5b4\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>2.2. \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n<p>\uc218\uc9d1\ub41c \ub370\uc774\ud130\ub294 \ubd84\uc11d\ud558\uae30 \uc804\uc5d0 \ub2e4\uc591\ud55c \uc804\ucc98\ub9ac \uacfc\uc815\uc744 \uac70\uccd0\uc57c \ud569\ub2c8\ub2e4. \uc774\ub294 \uacb0\uce21\uce58 \ucc98\ub9ac, \uc815\uaddc\ud654(Normalization) \ub610\ub294 \ud45c\uc900\ud654(Standardization), \uc774\uc0c1\uce58 \uc81c\uac70 \ub4f1 \ub2e4\uc591\ud55c \uc791\uc5c5\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4.<\/p>\n<h3>2.3. \ubaa8\ub378 \uc120\ud0dd \ubc0f \ud559\uc2b5<\/h3>\n<p>\uc801\uc808\ud55c \ud68c\uadc0 \ubaa8\ub378\uc744 \uc120\ud0dd\ud55c \ud6c4, \uc774 \ubaa8\ub378\uc744 \uae30\ubc18\uc73c\ub85c \ud559\uc2b5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \ud559\uc2b5 \uacfc\uc815\uc5d0\uc11c\ub294 \uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130\ub85c\ubd80\ud130 \ud68c\uadc0 \uacc4\uc218\ub97c \ucd94\uc815\ud569\ub2c8\ub2e4.<\/p>\n<h3>2.4. \ubaa8\ub378 \ud3c9\uac00<\/h3>\n<p>\ud559\uc2b5\ub41c \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574 \ub2e4\uc591\ud55c \ud3c9\uac00 \uc9c0\ud45c\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \ub300\ud45c\uc801\uc778 \ud3c9\uac00 \uc9c0\ud45c\ub85c\ub294 Mean Absolute Error (MAE), Mean Squared Error (MSE), R-squared (R\u00b2) \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>2.5. \uc608\uce21 \ubc0f \uacb0\uacfc \ud574\uc11d<\/h3>\n<p>\ubaa8\ub378 \ud3c9\uac00\uac00 \ub05d\ub09c \ud6c4, \ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \uc774\uc6a9\ud574 \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uc608\uce21\uc744 \uc218\ud589\ud558\uace0, \uadf8 \uacb0\uacfc\ub97c \ud574\uc11d\ud569\ub2c8\ub2e4.<\/p>\n<h2>3. \ud68c\uadc0 \ubd84\uc11d\uc758 \uc608\uc81c<\/h2>\n<p>\uc774\uc81c \uc2e4\uc81c \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud55c \uc608\uc81c\ub97c \ud1b5\ud574 \ud68c\uadc0 \ubd84\uc11d\uc744 \uc774\ud574\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc9d1\uac12 \uc608\uce21 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \uc808\ucc28\ub97c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>3.1. \uc608\uc81c \ub370\uc774\ud130 \uc124\uba85<\/h3>\n<p>\uc774\ubc88 \uc608\uc81c\uc5d0\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ubcc0\uc218\ub97c \uac00\uc9c4 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud560 \uac83\uc785\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\uc9d1\uba74\uc801<\/strong> (independent variable)<\/li>\n<li><strong>\uc9d1\uac00\uaca9<\/strong> (dependent variable)<\/li>\n<\/ul>\n<p>\uc774 \ub370\uc774\ud130 \uc138\ud2b8\ub294 \ud2b9\uc815 \uc9c0\uc5ed\uc758 \uc9d1\ub9e4\ub9e4 \uad00\ub828 \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ud569\ub2c8\ub2e4.<\/p>\n<h3>3.2. \ub370\uc774\ud130 \ubd84\uc11d \ubc0f \uc804\ucc98\ub9ac<\/h3>\n<p>\uba3c\uc800 \ub370\uc774\ud130\uc758 \uc0c1\uad00\uad00\uacc4\ub97c \ubd84\uc11d\ud558\uace0, \uacb0\uce21\uce58\ub098 \uc774\uc0c1\uce58 \ub4f1\uc744 \ucc98\ub9ac\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc2dc\uac01\ud654\ub97c \ud1b5\ud574 \ub370\uc774\ud130\uc758 \ubd84\ud3ec\ub97c \ud30c\uc545\ud558\ub294 \uac83\uc774 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n<h3>3.3. \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378 \uad6c\ucd95<\/h3>\n<p>\uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud574, Python\uc758 Scikit-learn \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 \uad6c\ud604\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 \ucf54\ub4dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<pre><code>import pandas as pd\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.linear_model import LinearRegression\nfrom sklearn.metrics import mean_squared_error\n\n# \ub370\uc774\ud130 \ub85c\ub4dc\ndata = pd.read_csv('house_data.csv')\n\n# \ub3c5\ub9bd \ubcc0\uc218\uc640 \uc885\uc18d \ubcc0\uc218 \uc124\uc815\nX = data[['\uba74\uc801']]\ny = data['\uac00\uaca9']\n\n# \ub370\uc774\ud130 \ubd84\ud560\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n\n# \ubaa8\ub378 \ud559\uc2b5\nmodel = LinearRegression()\nmodel.fit(X_train, y_train)\n\n# \uc608\uce21\npredictions = model.predict(X_test)\n\n# \ud3c9\uac00\nmse = mean_squared_error(y_test, predictions)\nprint(\"Mean Squared Error:\", mse)\n<\/code><\/pre>\n<h3>3.4. \uacb0\uacfc \ud574\uc11d<\/h3>\n<p>\ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \ubc14\ud0d5\uc73c\ub85c \uc608\uce21\uc744 \uc218\ud589\ud55c \ud6c4, Mean Squared Error (MSE)\uc640 \uac19\uc740 \ud3c9\uac00 \uc9c0\ud45c\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud569\ub2c8\ub2e4. \ub354\uc6b1 \uac1c\uc120\ub41c \uc608\uce21\uc744 \uc704\ud574 \ub2e4\uc591\ud55c \ub3c5\ub9bd \ubcc0\uc218\ub97c \ucd94\uac00\uc801\uc73c\ub85c \uace0\ub824\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>4. \ud68c\uadc0 \ubd84\uc11d\uc758 \ud55c\uacc4<\/h2>\n<p>\ud68c\uadc0 \ubd84\uc11d\uc740 \uac15\ub825\ud55c \ub3c4\uad6c\uc774\uc9c0\ub9cc \uba87 \uac00\uc9c0 \ud55c\uacc4\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uac00\uc7a5 \ud070 \ud55c\uacc4\ub294 \ube44\uc120\ud615 \uad00\uacc4\ub97c \ud3ec\ucc29\ud558\uc9c0 \ubabb\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uacbd\uc6b0\uc5d0\ub294 \ube44\uc120\ud615 \ud68c\uadc0(Non-linear Regression)\ub098 \ub2e4\ud56d \ud68c\uadc0(Polynomial Regression) \ub4f1\uc758 \ubc29\ubc95\uc744 \uace0\ub824\ud574\uc57c \ud569\ub2c8\ub2e4. \ub610\ud55c, \ub3c5\ub9bd \ubcc0\uc218 \uac04\uc758 \ub2e4\uc911 \uacf5\uc120\uc131(Multicollinearity)\uc774 \uc874\uc7ac\ud560 \uacbd\uc6b0 \ud68c\uadc0 \uacc4\uc218\uc758 \ud574\uc11d\uc774 \uc5b4\ub824\uc6b8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>5. \ud68c\uadc0 \ubd84\uc11d\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc758 \uad00\uacc4<\/h2>\n<p>\ud68c\uadc0 \ubd84\uc11d\uc740 \uba38\uc2e0\ub7ec\ub2dd\uc758 \uae30\ucd08\uc801\uc778 \ubc29\ubc95 \uc911 \ud558\ub098\ub85c, \uba38\uc2e0\ub7ec\ub2dd\uc5d0\uc11c\ub294 \ub2e4\uc591\ud55c \ud68c\uadc0 \ubaa8\ub378\uc744 \ud1b5\ud574 \uc608\uce21 \ubb38\uc81c\ub97c \ud574\uacb0\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8 \ud68c\uadc0(Random Forest Regression), \uc11c\ud3ec\ud2b8 \ubca1\ud130 \ud68c\uadc0(Support Vector Regression) \ub4f1\uc758 \uc54c\uace0\ub9ac\uc998\uc774 \uc874\uc7ac\ud569\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd\uc5d0\uc11c\ub294 \ub354\uc6b1 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uad6c\uc870\ub97c \ub2e4\ub8f0 \uc218 \uc788\uc73c\uba70, \ube44\uc120\ud615\uc801 \uad00\uacc4\ub97c \uc27d\uac8c \ubaa8\ub378\ub9c1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>6. \uacb0\ub860<\/h2>\n<p>\ud68c\uadc0 \ubd84\uc11d\uc740 \ub2e4\uc591\ud55c \ub370\uc774\ud130 \ubd84\uc11d \ubc0f \uc608\uce21 \uc791\uc5c5\uc5d0 \uc788\uc5b4 \uc720\uc6a9\ud55c \uae30\ubc95\uc785\ub2c8\ub2e4. \ubaa8\ub378\uc744 \uc62c\ubc14\ub974\uac8c \uad6c\ucd95\ud558\uace0 \ud3c9\uac00\ud558\ub294 \uacfc\uc815\uc740 \ub370\uc774\ud130 \uacfc\ud559\uc790\uc5d0\uac8c \ud544\uc218\uc801\uc778 \uc791\uc5c5\uc774\uba70, \uc774\ub97c \ud1b5\ud574 \ub370\uc774\ud130 \uae30\ubc18\uc758 \uc758\uc0ac\uacb0\uc815\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c \ub2e4\ub8ec \ub0b4\uc6a9\uc774 \ud68c\uadc0 \ubd84\uc11d\uc5d0 \ub300\ud55c \uc774\ud574\ub97c \ub192\uc774\uace0, \uc2e4\ubb34\uc5d0 \uc801\uc6a9\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub418\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n<p>\uc774\uc640 \uac19\uc740 \ud68c\uadc0 \ubd84\uc11d\uc758 \uae30\ubc95\uc744 \uc798 \ud65c\uc6a9\ud55c\ub2e4\uba74, \ub370\uc774\ud130 \ubd84\uc11d \ubc0f \uc608\uce21 \ubaa8\ub378 \uad6c\ucd95\uc5d0 \uc788\uc5b4 \ubcf4\ub2e4 \ub192\uc740 \ud6a8\uc728\uc131\uacfc \uc815\ud655\uc131\uc744 \ud655\ubcf4\ud560 \uc218 \uc788\uc744 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<p>\uac10\uc0ac\ud569\ub2c8\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud68c\uadc0 \ubd84\uc11d(Regression Analysis)\uc740 \uc8fc\uc5b4\uc9c4 \uc790\ub8cc\ub97c \uae30\ubc18\uc73c\ub85c \ud55c \ud1b5\uacc4\uc801 \ubc29\ubc95\uc73c\ub85c, \ubcc0\uc218\ub4e4 \uac04\uc758 \uad00\uacc4\ub97c \ubaa8\ub378\ub9c1\ud558\uace0 \uc608\uce21\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ud68c\uadc0 \ubd84\uc11d\uc740 \ud1b5\uacc4\ud559, \uba38\uc2e0\ub7ec\ub2dd, \ub370\uc774\ud130 \uacfc\ud559 \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uc911\uc694\ud558\uac8c \uc0ac\uc6a9\ub418\ub294 \uae30\uc220\ub85c, \uc774\ub97c \ud1b5\ud574 \uc6b0\ub9ac\ub294 \ub2e4\uc591\ud55c \ud604\uc0c1\uc744 \uc774\ud574\ud558\uace0 \ubbf8\ub798\uc758 \uacb0\uacfc\ub97c \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \ud68c\uadc0 \ubd84\uc11d\uc758 \uae30\ubcf8 \uac1c\ub150\ubd80\ud130 \ub2e4\uc591\ud55c \ubc29\ubc95\ub860, \uc2e4\uc81c \uc608\uc81c \ubc0f \uc608\uce21 \ubaa8\ub378 \uad6c\ucd95 \uacfc\uc815\uae4c\uc9c0 \uc2ec\ub3c4 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/40790\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;27.\ud68c\uadc0 \ubd84\uc11d(Regression Analysis), \ud68c\uadc0 \ubd84\uc11d\uc744 \ud1b5\ud55c \uc608\uce21 \ubaa8\ub378 \uad6c\ucd95&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[219],"tags":[],"class_list":["post-40790","post","type-post","status-publish","format-standard","hentry","category-219"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>27.\ud68c\uadc0 \ubd84\uc11d(Regression Analysis), \ud68c\uadc0 \ubd84\uc11d\uc744 \ud1b5\ud55c \uc608\uce21 \ubaa8\ub378 \uad6c\ucd95 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/40790\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" 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