{"id":880,"date":"2023-07-28T10:48:49","date_gmt":"2023-07-28T10:48:49","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%89%e1%85%a5%e1%86%ab%e1%84%92%e1%85%a7%e1%86%bc-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/"},"modified":"2023-07-28T10:48:49","modified_gmt":"2023-07-28T10:48:49","slug":"%e1%84%89%e1%85%a5%e1%86%ab%e1%84%92%e1%85%a7%e1%86%bc-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%89%e1%85%a5%e1%86%ab%e1%84%92%e1%85%a7%e1%86%bc-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/","title":{"rendered":"Python\uc758 \uc120\ud615 \ud68c\uadc0\uc5d0 \ub300\ud55c \uc644\uc804\ud55c \uac00\uc774\ub4dc"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\uc120\ud615 \ud68c\uadc0<\/strong> \ub294 \ud558\ub098 \uc774\uc0c1\uc758 \uc608\uce21 \ubcc0\uc218\uc640 \uc751\ub2f5 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc774\ud574\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc785\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\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608: Python\uc758 \uc120\ud615 \ud68c\uadc0<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uacf5\ubd80\ud55c \uc2dc\uac04\uacfc \uc5f0\uc2b5 \uc2dc\ud5d8\uc758 \ud69f\uc218\uac00 \ud559\uc0dd\uc774 \uc8fc\uc5b4\uc9c4 \uc2dc\ud5d8\uc5d0\uc11c \ubc1b\ub294 \uc131\uc801\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \uc54c\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uad00\uacc4\ub97c \ud0d0\uc0c9\ud558\uae30 \uc704\ud574 Python\uc5d0\uc11c \ub2e4\uc74c \ub2e8\uacc4\ub97c \uc218\ud589\ud558\uc5ec \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1\ub2e8\uacc4: \ub370\uc774\ud130\ub97c \uc785\ub825\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uba3c\uc800 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ubcf4\uad00\ud560 pandas DataFrame\uc744 \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create data<\/span>\ndf = pd.DataFrame({'hours': [1, 2, 2, 4, 2, 1, 5, 4, 2, 4, 4, 3, 6, 5, 3, 4, 6, 2, 1, 2],\n                   'exams': [1, 3, 3, 5, 2, 2, 1, 1, 0, 3, 4, 3, 2, 4, 4, 4, 5, 1, 0, 1],\n                   'score': [76, 78, 85, 88, 72, 69, 94, 94, 88, 92, 90, 75, 96, 90, 82, 85, 99, 83, 62, 76]})\n<span style=\"color: #008080;\">\n#view data<\/span> \ndf\n\n        hours exam score\n0 1 1 76\n1 2 3 78\n2 2 3 85\n3 4 5 88\n4 2 2 72\n5 1 2 69\n6 5 1 94\n7 4 1 94\n8 2 0 88\n9 4 3 92\n10 4 4 90\n11 3 3 75\n12 6 2 96\n13 5 4 90\n14 3 4 82\n15 4 4 85\n16 6 5 99\n17 2 1 83\n18 1 0 62\n19 2 1 76\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>2\ub2e8\uacc4: \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c, statsmodels \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 <a href=\"https:\/\/www.statsmodels.org\/devel\/generated\/statsmodels.regression.linear_model.OLS.html\" target=\"_blank\" rel=\"noopener noreferrer\">OLS() \ud568\uc218\ub97c<\/a> \uc0ac\uc6a9\ud558\uc5ec &#8220;\uc2dc\uac04&#8221;\uacfc &#8220;\uc2dc\ud5d8&#8221;\uc744 \uc608\uce21 \ubcc0\uc218\ub85c, &#8220;\uc810\uc218&#8221;\ub97c \uc751\ub2f5 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uc5ec \uc77c\ubc18 \ucd5c\uc18c \uc81c\uacf1 \ud68c\uadc0\ub97c \uc218\ud589\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> statsmodels.api <span style=\"color: #107d3f;\">as<\/span> sm\n\n<span style=\"color: #008080;\">#define response variable\n<\/span>y = df['score']\n\n<span style=\"color: #008080;\">#define predictor variables\n<\/span>x = df[['hours', 'exams']]\n\n<span style=\"color: #008080;\">#add constant to predictor variables\n<\/span>x = sm.add_constant(x)\n\n<span style=\"color: #008080;\">#fit linear regression model\n<\/span>model = sm.OLS(y, x).fit()\n\n<span style=\"color: #008080;\">#view model summary\n<\/span>print(model.summary())\n\n                            OLS Regression Results                            \n==================================================== ============================\nDept. Variable: R-squared score: 0.734\nModel: OLS Adj. R-squared: 0.703\nMethod: Least Squares F-statistic: 23.46\nDate: Fri, 24 Jul 2020 Prob (F-statistic): 1.29e-05\nTime: 13:20:31 Log-Likelihood: -60.354\nNo. Observations: 20 AIC: 126.7\nDf Residuals: 17 BIC: 129.7\nDf Model: 2                                         \nCovariance Type: non-robust                                         \n==================================================== ============================\n                 coef std err t P&gt;|t| [0.025 0.975]\n-------------------------------------------------- ----------------------------\nconst 67.6735 2.816 24.033 0.000 61.733 73.614\nhours 5.5557 0.899 6.179 0.000 3.659 7.453\nexams -0.6017 0.914 -0.658 0.519 -2.531 1.327\n==================================================== ============================\nOmnibus: 0.341 Durbin-Watson: 1.506\nProb(Omnibus): 0.843 Jarque-Bera (JB): 0.196\nSkew: -0.216 Prob(JB): 0.907\nKurtosis: 2,782 Cond. No. 10.8\n==================================================== ============================\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: \uacb0\uacfc\ub97c \ud574\uc11d\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c \uac00\uc7a5 \uad00\ub828\uc131\uc774 \ub192\uc740 \uc22b\uc790\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>R \uc81c\uacf1:<\/strong> <strong>0.734<\/strong> . \uc774\uac83\uc744 \uacb0\uc815\uacc4\uc218\ub77c\uace0 \ud569\ub2c8\ub2e4. \uc774\ub294 \uc608\uce21 \ubcc0\uc218\ub85c \uc124\uba85\ud560 \uc218 \uc788\ub294 \ubc18\uc751 \ubcc0\uc218\uc758 \ubd84\uc0b0 \ube44\uc728\uc785\ub2c8\ub2e4. \uc774 \uc608\uc5d0\uc11c \uc2dc\ud5d8 \uc810\uc218 \ubcc0\ub3d9\uc758 73.4%\ub294 \uacf5\ubd80\ud55c \uc2dc\uac04\uacfc \uc751\uc2dc\ud55c \uc900\ube44 \uc2dc\ud5d8 \ud69f\uc218\ub85c \uc124\uba85\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>F-\ud1b5\uacc4\ub7c9: 23.46<\/strong> . \uc774\ub294 \ud68c\uadc0 \ubaa8\ub378\uc758 \uc804\uccb4 F \ud1b5\uacc4\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ud655\ub960(F \ud1b5\uacc4): 1.29e-05.<\/strong> \uc774\ub294 \uc804\uccb4 F \ud1b5\uacc4\ub7c9\uacfc \uc5f0\uad00\ub41c p-\uac12\uc785\ub2c8\ub2e4. \uc774\ub294 \ud68c\uadc0 \ubaa8\ub378 \uc804\uccb4\uac00 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c\uc9c0 \uc5ec\ubd80\ub97c \uc54c\ub824\uc90d\ub2c8\ub2e4. \uc989, \uacb0\ud569\ub41c \ub450 \uc608\uce21 \ubcc0\uc218\uac00 \ubc18\uc751 \ubcc0\uc218\uc640 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \uc5f0\uad00\uc131\uc744 \uac00\uc9c0\uace0 \uc788\ub294\uc9c0 \uc5ec\ubd80\ub97c \uc54c\ub824\uc90d\ub2c8\ub2e4. \uc774 \uacbd\uc6b0 p-\uac12\uc740 0.05\ubcf4\ub2e4 \uc791\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc608\uce21 \ubcc0\uc218\uc778 &#8220;\ud559\uc2b5 \uc2dc\uac04&#8221;\uacfc &#8220;\uc751\uc2dc\ud55c \uc900\ube44 \uc2dc\ud5d8&#8221;\uc774 \uc2dc\ud5d8 \uc810\uc218\uc640 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \uc5f0\uad00\uc131\uc774 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>coef:<\/strong> \uac01 \uc608\uce21 \ubcc0\uc218\uc758 \uacc4\uc218\ub294 \ub2e4\ub978 \uc608\uce21 \ubcc0\uc218\uac00 \uc77c\uc815\ud558\uac8c \uc720\uc9c0\ub41c\ub2e4\ub294 \uac00\uc815 \ud558\uc5d0 \uc751\ub2f5 \ubcc0\uc218\uc758 \uc608\uc0c1 \ud3c9\uade0 \ubcc0\ud654\ub97c \uc54c\ub824\uc90d\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc5f0\uc2b5 \uc2dc\ud5d8\uc774 \uc77c\uc815\ud558\uac8c \uc720\uc9c0\ub41c\ub2e4\ub294 \uac00\uc815 \ud558\uc5d0 \uacf5\ubd80\ud558\ub294 \ub370 \ucd94\uac00 \uc2dc\uac04\uc744 \uc18c\ube44\ud560 \ub54c\ub9c8\ub2e4 \ud3c9\uade0 \uc2dc\ud5d8 \uc810\uc218\ub294 <strong>5.56<\/strong> \uc529 \uc99d\uac00\ud560 \uac83\uc73c\ub85c \uc608\uc0c1\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub97c \ub2e4\ub974\uac8c \ubcf4\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. \ud559\uc0dd A\uc640 \ud559\uc0dd B\uac00 \ubaa8\ub450 \uac19\uc740 \uc218\uc758 \uc900\ube44 \uc2dc\ud5d8\uc744 \uce58\ub974\uc9c0\ub9cc \ud559\uc0dd A\uac00 \ud55c \uc2dc\uac04 \ub354 \uacf5\ubd80\ud55c\ub2e4\uba74 \ud559\uc0dd A\ub294 \ud559\uc0dd B\ubcf4\ub2e4 <strong>5.56<\/strong> \uc810 \ub354 \ub192\uc740 \uc810\uc218\ub97c \ubc1b\uc544\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc6b0\ub9ac\ub294 \uc778\ud130\uc149\ud2b8 \uacc4\uc218\ub97c \ud574\uc11d\ud558\uc5ec \uc2dc\uac04\ub3c4 \uacf5\ubd80\ud558\uc9c0 \uc54a\uace0 \uc900\ube44 \uc2dc\ud5d8\ub3c4 \uce58\ub974\uc9c0 \uc54a\uc740 \ud559\uc0dd\uc758 \uc608\uc0c1 \uc2dc\ud5d8 \uc810\uc218\uac00 <strong>67.67<\/strong> \uc784\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ud53c&gt;|\ud2f0|.<\/strong> \uac1c\ubcc4 p-\uac12\uc740 \uac01 \uc608\uce21 \ubcc0\uc218\uac00 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud55c\uc9c0 \uc5ec\ubd80\ub97c \uc54c\ub824\uc90d\ub2c8\ub2e4. \u201c\uc2dc\uac04\u201d\uc740 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ubc18\uba74(p = 0.00) \u201c\uc2dc\ud5d8\u201d\uc740 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud558\ub2e4\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4. <strong>&nbsp;<\/strong> (p = 0.52)\ub294 \u03b1 = 0.05\uc5d0\uc11c \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4. &#8220;\uc2dc\ud5d8&#8221;\uc774\ub77c\ub294 \uc6a9\uc5b4\ub294 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud558\uc9c0 \uc54a\uc73c\ubbc0\ub85c \ubaa8\ub378\uc5d0\uc11c \ud574\ub2f9 \uc6a9\uc5b4\ub97c \uc81c\uac70\ud558\uae30\ub85c \uacb0\uc815\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucd94\uc815 \ud68c\uadc0 \ubc29\uc815\uc2dd:<\/strong> \ubaa8\ub378 \ucd9c\ub825\uc758 \uacc4\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc74c\uacfc \uac19\uc740 \ucd94\uc815 \ud68c\uadc0 \ubc29\uc815\uc2dd\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uc2dc\ud5d8 \uc810\uc218 = 67.67 + 5.56*(\uc2dc\uac04) \u2013 0.60*(\uc900\ube44 \uc2dc\ud5d8)<\/strong><\/span><\/p>\n<p data-slot-rendered-dynamic=\"true\"> <span style=\"color: #000000;\">\uc774 \ucd94\uc815 \ud68c\uadc0 \ubc29\uc815\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud559\uc2b5 \uc2dc\uac04\uacfc \uc751\uc2dc\ud558\ub294 \uc5f0\uc2b5 \uc2dc\ud5d8 \ud69f\uc218\ub97c \uae30\ubc18\uc73c\ub85c \ud559\uc0dd\uc758 \uc608\uc0c1 \uc2dc\ud5d8 \uc810\uc218\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, 3\uc2dc\uac04 \ub3d9\uc548 \uacf5\ubd80\ud558\uace0 \uc2dc\ud5d8\uc744 \uce58\ub974\ub294 \ud559\uc0dd\uc740 <strong>83.75<\/strong> \uc810\uc744 \ubc1b\uc544\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<p data-slot-rendered-dynamic=\"true\"> <span style=\"color: #000000;\">\uacfc\uac70 \uc900\ube44 \uc2dc\ud5d8\uc740 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud558\uc9c0 \uc54a\uc558\uae30 \ub54c\ubb38\uc5d0(p = 0.52) \uc804\uccb4 \ubaa8\ub378\uc5d0 \uc544\ubb34\ub7f0 \uac1c\uc120\uc744 \uc81c\uacf5\ud558\uc9c0 \uc54a\uc73c\ubbc0\ub85c \uc81c\uac70\ud558\uae30\ub85c \uacb0\uc815\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uacbd\uc6b0 \uc5f0\uad6c\ub41c \uc2dc\uac04\ub9cc \uc608\uce21 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uc5ec \uac04\ub2e8\ud55c \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p data-slot-rendered-dynamic=\"true\"> <span style=\"color: #000000;\"><strong>4\ub2e8\uacc4: \ubaa8\ub378 \uac00\uc815\uc744 \ud655\uc778\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p data-slot-rendered-dynamic=\"true\"> <span style=\"color: #000000;\">\uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud55c \ud6c4\uc5d0\ub294 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacb0\uacfc\uac00 \uc2e0\ub8b0\ud560 \uc218 \uc788\ub294\uc9c0 \ud655\uc778\ud558\uae30 \uc704\ud574 \uc5ec\ub7ec \uac00\uc815\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uac00\uc815\uc5d0\ub294 \ub2e4\uc74c\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p data-slot-rendered-dynamic=\"true\"> <span style=\"color: #000000;\"><strong>\uac00\uc815 #1:<\/strong> \uc608\uce21 \ubcc0\uc218\uc640 \ubc18\uc751 \ubcc0\uc218 \uc0ac\uc774\uc5d0\ub294 \uc120\ud615 \uad00\uacc4\uac00 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li data-slot-rendered-dynamic=\"true\"> <span style=\"color: #000000;\">\ud68c\uadc0 \ubaa8\ub378\uc758 \uc794\ucc28\uc5d0 \ub300\ud55c \uc801\ud569\uce58\ub97c \ud45c\uc2dc\ud558\ub294 <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 noreferrer\">\uc794\ucc28 \ud50c\ub86f\uc744<\/a> \uc0dd\uc131\ud558\uc5ec \uc774 \uac00\uc815\uc744 \uac80\uc99d\ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>\uac00\uc124 #2:<\/strong> \uc794\ucc28\uc758 \ub3c5\ub9bd\uc131.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ko\/\u1103\u1165\u1107\u1175\u11ab-\u110b\u116a\u11ba\u1109\u1173\u11ab-\u1110\u1166\u1109\u1173\u1110\u1173-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener noreferrer\">Durbin-Watson \ud14c\uc2a4\ud2b8\ub97c<\/a> \uc218\ud589\ud558\uc5ec \uc774 \uac00\uc124\uc744 \uac80\uc99d\ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>\uac00\uc124 #3:<\/strong> \uc794\ucc28\uc758 \ub3d9\ubd84\uc0b0\uc131.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ko\/breusch-\u110b\u1175\u1100\u116d\u1103\u1169-\u1110\u1166\u1109\u1173\u1110\u1173-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener noreferrer\">Breusch-Pagan \ud14c\uc2a4\ud2b8\ub97c<\/a> \uc218\ud589\ud558\uc5ec \uc774 \uac00\uc124\uc744 \uac80\uc99d\ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>\uac00\uc815 4\ubc88:<\/strong> \uc794\ucc28\uc758 \uc815\uaddc\uc131.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ko\/\u110b\u1175\u11af\u1107\u116e-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab-\u1111\u1173\u11af\u1105\u1169\u11ba\/\" target=\"_blank\" rel=\"noopener noreferrer\">QQ \ud50c\ub86f\uc744<\/a> \uc0ac\uc6a9\ud558\uc5ec \uc774 \uac00\uc815\uc744 \uc2dc\uac01\uc801\uc73c\ub85c \ud655\uc778\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ko\/jarque\u1102\u1173\u11ab-python\u110b\u1173\u11af-\u1110\u1166\u1109\u1173\u1110\u1173\u1112\u1161\u11af-\u1100\u1165\u11ba\u110b\u1175\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener noreferrer\">Jarque-Bera \ud14c\uc2a4\ud2b8<\/a> \ub610\ub294 <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1162\u11ab\u1103\u1165\u1109\u1173\u11ab-\u110e\u1166\u1105\u1175-\u1110\u1166\u1109\u1173\u1110\u1173-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener noreferrer\">Anderson-Darling \ud14c\uc2a4\ud2b8<\/a> \uc640 \uac19\uc740 \uacf5\uc2dd \ud14c\uc2a4\ud2b8\ub97c \ud1b5\ud574 \uc774 \uac00\uc124\uc744 \uac80\uc99d\ud558\uc138\uc694.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>\uac00\uc815 #5:<\/strong> \uc608\uce21 \ubcc0\uc218 \uac04\uc5d0 \ub2e4\uc911 \uacf5\uc120\uc131\uc774 \uc5c6\ub294\uc9c0 \ud655\uc778\ud569\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uac01 \uc608\uce21 \ubcc0\uc218\uc758 <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 noreferrer\">VIF \uac12\uc744<\/a> \uacc4\uc0b0\ud558\uc5ec \uc774 \uac00\uc124\uc744 \uac80\uc99d\ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc774\ub7ec\ud55c \uac00\uc815\uc774 \ucda9\uc871\ub418\uba74 \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacb0\uacfc\ub97c \uc2e0\ub8b0\ud560 \uc218 \uc788\ub2e4\uace0 \ud655\uc2e0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><em>\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c \uc0ac\uc6a9\ub41c \uc804\uccb4 Python \ucf54\ub4dc\ub294 <a href=\"https:\/\/github.com\/Statorials\/Python-Guides\/blob\/main\/multiple_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>\uc120\ud615 \ud68c\uadc0 \ub294 \ud558\ub098 \uc774\uc0c1\uc758 \uc608\uce21 \ubcc0\uc218\uc640 \uc751\ub2f5 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc774\ud574\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc608: Python\uc758 \uc120\ud615 \ud68c\uadc0 \uacf5\ubd80\ud55c \uc2dc\uac04\uacfc \uc5f0\uc2b5 \uc2dc\ud5d8\uc758 \ud69f\uc218\uac00 \ud559\uc0dd\uc774 \uc8fc\uc5b4\uc9c4 \uc2dc\ud5d8\uc5d0\uc11c \ubc1b\ub294 \uc131\uc801\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \uc54c\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774 \uad00\uacc4\ub97c \ud0d0\uc0c9\ud558\uae30 \uc704\ud574 Python\uc5d0\uc11c \ub2e4\uc74c \ub2e8\uacc4\ub97c \uc218\ud589\ud558\uc5ec \ub2e4\uc911 \uc120\ud615 [&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-880","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\uc758 \uc120\ud615 \ud68c\uadc0\uc5d0 \ub300\ud55c \uc644\uc804\ud55c \uac00\uc774\ub4dc - \ud1b5\uacc4\ud559<\/title>\n<meta name=\"description\" content=\"\ub2e4\uc74c\uc740 Python\uc5d0\uc11c \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uc804\uccb4 \uac00\uc774\ub4dc\uc785\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, 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