{"id":1975,"date":"2023-07-24T05:44:05","date_gmt":"2023-07-24T05:44:05","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-lm-%e1%84%92%e1%85%a1%e1%86%b7%e1%84%89%e1%85%ae\/"},"modified":"2023-07-24T05:44:05","modified_gmt":"2023-07-24T05:44:05","slug":"r%e1%84%8b%e1%85%b4-lm-%e1%84%92%e1%85%a1%e1%86%b7%e1%84%89%e1%85%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-lm-%e1%84%92%e1%85%a1%e1%86%b7%e1%84%89%e1%85%ae\/","title":{"rendered":"R\uc5d0\uc11c lm() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc120\ud615 \ubaa8\ub378\uc744 \ub9de\ucd94\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R\uc758 <strong>lm()<\/strong> \ud568\uc218\ub294 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud568\uc218\ub294 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>lm(\uacf5\uc2dd, \ub370\uc774\ud130, \u2026)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\uacf5\uc2dd:<\/strong> \uc120\ud615 \ubaa8\ub378 \uacf5\uc2dd(\uc608: y ~ x1 + x2)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\ub370\uc774\ud130:<\/strong> \ub370\uc774\ud130\uac00 \ud3ec\ud568\ub41c \ub370\uc774\ud130 \ube14\ub85d\uc758 \uc774\ub984<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 R\uc5d0\uc11c \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc74c\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ud68c\uadc0 \ubaa8\ub378 \ud53c\ud305<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ud68c\uadc0 \ubaa8\ub378 \uc801\ud569\uc131 \uc694\uc57d \ubcf4\uae30<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubaa8\ub378 \uc9c4\ub2e8 \ud50c\ub86f \ubcf4\uae30<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc801\ud569 \ud68c\uadc0 \ubaa8\ub378 \ud50c\ub86f<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ud68c\uadc0 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc608\uce21<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>\ud68c\uadc0 \ubaa8\ub378\uc5d0 \uc801\ud569<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>lm()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\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;\">#define data<\/span>\ndf = data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(1, 3, 3, 4, 5, 5, 6, 8, 9, 12),\n                y=c(12, 14, 14, 13, 17, 19, 22, 26, 24, 22))\n\n<span style=\"color: #008080;\">#fit linear regression model using 'x' as predictor and 'y' as response variable<\/span>\nmodel &lt;- lm(y ~ x, data=df)\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\ud68c\uadc0 \ubaa8\ub378 \uc694\uc57d \ud45c\uc2dc<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uadf8\ub7f0 \ub2e4\uc74c <strong>summary()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud68c\uadc0 \ubaa8\ub378 \uc801\ud569\ub3c4\uc758 \uc694\uc57d\uc744 \ud45c\uc2dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view summary of regression model<\/span>\nsummary(model)\n\nCall:\nlm(formula = y ~ x, data = df)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-4.4793 -0.9772 -0.4772 1.4388 4.6328 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 11.1432 1.9104 5.833 0.00039 ***\nx 1.2780 0.2984 4.284 0.00267 ** \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 2.929 on 8 degrees of freedom\nMultiple R-squared: 0.6964, Adjusted R-squared: 0.6584 \nF-statistic: 18.35 on 1 and 8 DF, p-value: 0.002675\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ubaa8\ub378\uc5d0\uc11c \uac00\uc7a5 \uc911\uc694\ud55c \uac12\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>F-\ud1b5\uacc4\ub7c9<\/strong> = 18.35, \ud574\ub2f9 <strong>p-\uac12<\/strong> = 0.002675. \uc774 p-\uac12\uc740 0.05\ubcf4\ub2e4 \uc791\uc73c\ubbc0\ub85c \ubaa8\ub378 \uc804\uccb4\uac00 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\ub2e4\uc911 R \uc81c\uacf1<\/strong> = 0.6964. \uc774\ub294 \ubc18\uc751 \ubcc0\uc218 y\uc758 \ubcc0\ub3d9 \uc911 69.64%\uac00 \uc608\uce21 \ubcc0\uc218 x\uc5d0 \uc758\ud574 \uc124\uba85\ub420 \uc218 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>x\uc758 \ucd94\uc815 \uacc4\uc218<\/strong> : 1.2780. \uc774\ub294 x\uc758 \uac01 \ucd94\uac00 \ub2e8\uc704 \uc99d\uac00\uac00 y\uc758 \ud3c9\uade0 1.2780 \uc99d\uac00\uc640 \uc5f0\uad00\ub418\uc5b4 \uc788\uc74c\uc744 \uc54c\ub824\uc90d\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uadf8\ub7f0 \ub2e4\uc74c \ucd9c\ub825\uc758 \uacc4\uc218 \ucd94\uc815\uc744 \uc0ac\uc6a9\ud558\uc5ec \ucd94\uc815 \ud68c\uadc0 \ubc29\uc815\uc2dd\uc744 \uc791\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">y = 11.1432 + 1.2780*(x)<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubcf4\ub108\uc2a4<\/strong> : <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1112\u116c\u1100\u1171-\u110e\u116e\u11af\u1105\u1167\u11a8-\u1112\u1162\u1109\u1165\u11a8\/\" target=\"_blank\" rel=\"noopener\">\uc5ec\uae30\uc5d0\uc11c<\/a> R\uc758 \uac01 \ud68c\uadc0 \ucd9c\ub825 \uac12\uc744 \ud574\uc11d\ud558\ub294 \ub370 \ub300\ud55c \uc644\uc804\ud55c \uac00\uc774\ub4dc\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ubaa8\ub378 \uc9c4\ub2e8 \ud50c\ub86f \ubcf4\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uadf8\ub7f0 \ub2e4\uc74c \ud68c\uadc0 \ubaa8\ub378\uc758 \uc9c4\ub2e8 \ud50c\ub86f\uc744 <strong>\ud50c\ub86f()\ud558\uae30 \uc704\ud574 \ud50c\ub86f()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create diagnostic plots\n<span style=\"color: #000000;\">plot(model)<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-18677 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lm2.png\" alt=\"\" width=\"653\" height=\"649\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uadf8\ub798\ud504\ub97c \ud1b5\ud574 \ud68c\uadc0 \ubaa8\ub378\uc758 <a href=\"https:\/\/statorials.org\/ko\/\u110c\u1161\u11ab\u110b\u1167\u1106\u116e\u11af\/\" target=\"_blank\" rel=\"noopener\">\uc794\ucc28\ub97c<\/a> \ubd84\uc11d\ud558\uc5ec \ud574\ub2f9 \ubaa8\ub378\uc774 \ub370\uc774\ud130\uc5d0 \uc0ac\uc6a9\ud558\uae30\uc5d0 \uc801\ud569\ud55c\uc9c0 \uacb0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">R\uc5d0\uc11c \ubaa8\ub378\uc758 \uc9c4\ub2e8 \ud50c\ub86f\uc744 \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uc804\uccb4 \uc124\uba85\uc740 <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u110c\u1175\u11ab\u1103\u1161\u11ab-\u1103\u1161\u110b\u1175\u110b\u1165\u1100\u1173\u1105\u1162\u11b7\/\" target=\"_blank\" rel=\"noopener\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc744<\/a> \ucc38\uc870\ud558\uc138\uc694.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc801\ud569 \ud68c\uadc0 \ubaa8\ub378 \ud50c\ub86f<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><strong>abline()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc801\ud569 \ud68c\uadc0 \ubaa8\ub378\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create scatterplot of raw data<\/span>\nplot(df$x, df$y, col=' <span style=\"color: #ff0000;\">red<\/span> ', main=' <span style=\"color: #ff0000;\">Summary of Regression Model<\/span> ', xlab=' <span style=\"color: #ff0000;\">x<\/span> ', ylab=' <span style=\"color: #ff0000;\">y<\/span> ')\n\n<span style=\"color: #008080;\">#add fitted regression line\n<span style=\"color: #000000;\">abline(model)\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-18678\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lm3.png\" alt=\"R\uc5d0\uc11c lm() \ud50c\ub86f\" width=\"448\" height=\"442\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <strong>\ud68c\uadc0 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc608\uce21\ud558\uae30<\/strong><\/h3>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\"><strong>\uc608\uce21()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc0c8\ub85c\uc6b4 \uad00\ucc30\uc5d0 \ub300\ud55c \uc751\ub2f5 \uac12\uc744 \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#define new observation\n<\/span>new &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(5))\n\n<span style=\"color: #008080;\">#use the fitted model to predict the value for the new observation\n<\/span>predict(model, newdata = new)\n\n      1 \n17.5332<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ubaa8\ub378\uc740 \uc774 \uc0c8\ub85c\uc6b4 \uad00\uce21\uac12\uc774 <strong>17.5332<\/strong> \uc758 \ubc18\uc751 \uac12\uc744 \uac00\uc9c8 \uac83\uc774\ub77c\uace0 \uc608\uce21\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1103\u1161\u11ab\u1109\u116e\u11ab-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u110c\u116e\u11bc-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171-r\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u11ab\u1100\u1168\u1107\u1167\u11af-\u1112\u116c\u1100\u1171-r\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ub2e8\uacc4\uc801 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R\uc758 lm() \ud568\uc218\ub294 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \ud568\uc218\ub294 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. lm(\uacf5\uc2dd, \ub370\uc774\ud130, \u2026) \uae08: \uacf5\uc2dd: \uc120\ud615 \ubaa8\ub378 \uacf5\uc2dd(\uc608: y ~ x1 + x2) \ub370\uc774\ud130: \ub370\uc774\ud130\uac00 \ud3ec\ud568\ub41c \ub370\uc774\ud130 \ube14\ub85d\uc758 \uc774\ub984 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 R\uc5d0\uc11c \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc74c\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \ud68c\uadc0 \ubaa8\ub378 \ud53c\ud305 \ud68c\uadc0 \ubaa8\ub378 \uc801\ud569\uc131 \uc694\uc57d \ubcf4\uae30 \ubaa8\ub378 \uc9c4\ub2e8 \ud50c\ub86f [&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-1975","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>\uc120\ud615 \ubaa8\ub378\uc744 \ub9de\ucd94\uae30 \uc704\ud574 R\uc5d0\uc11c lm() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 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