{"id":1844,"date":"2019-06-20T18:15:37","date_gmt":"2019-06-20T09:15:37","guid":{"rendered":"http:\/\/141.164.34.82\/?p=1844"},"modified":"2019-06-20T19:29:16","modified_gmt":"2019-06-20T10:29:16","slug":"%ec%84%a0%ed%98%95-%ed%9a%8c%ea%b7%80%ec%9d%98-%ea%b0%80%ec%a0%95-%ec%9a%b0%ed%9a%8c%eb%b0%a9%eb%b2%95-%ec%9c%a0%ec%9d%98%ec%82%ac%ed%95%ad","status":"publish","type":"post","link":"http:\/\/ds.sumeun.org\/?p=1844","title":{"rendered":"\uc120\ud615 \ud68c\uadc0\uc758 \uac00\uc815, \uc6b0\ud68c\ubc29\ubc95, \uc720\uc758\uc0ac\ud56d"},"content":{"rendered":"<h2>\uc120\ud615 \ud68c\uadc0\uc758 \uac00\uc815<\/h2>\n<p>\uc120\ud615 \ud68c\uadc0\uc758 4\uac00\uc9c0 \uac00\uc815\uc740 LINE\uc73c\ub85c \uc815\ub9ac\ud560 \uc218 \uc788\ub2e4. (\uc774 LINE\uc774\ub77c\ub294 \uc57d\uc5b4\ub294 \uc5b4\ub5a4 \ucc45\uc5d0\uc11c \ubd24\ub294\ub370, \ucd9c\ucc98\ub294 \uc815\ud655\ud788 \uae30\uc5b5\ub098\uc9c0 \uc54a\ub294\ub2e4.)<\/p>\n<ol>\n<li><strong>L<\/strong>inearity(\uc120\ud615\uc131) : \uc885\uc18d\ubcc0\uc218\ub294 \uc124\uba85\ubcc0\uc218\uc758 \uc120\ud615 \ud568\uc218\uc774\ub2e4.<\/li>\n<li><strong>I<\/strong>ndependence(\ub3c5\ub9bd\uc131): \uc885\uc18d\ubcc0\uc218\ub294 \uad00\ucc30\uac12\uc5d0 \uc870\uac74\ubd80\ub85c \ub3c5\ub9bd\uc774\ub2e4.<\/li>\n<li><strong>N<\/strong>ormality(\uc815\uaddc\uc131): \uc624\ucc28\uc758 \ubd84\ud3ec\ub294 \uc815\uaddc\ubd84\ud3ec\uc774\ub2e4.<\/li>\n<li><strong>E<\/strong>qual Varaince(\ub4f1\ubd84\uc0b0\uc131): \uc624\ucc28\uc758 \ubd84\uc0b0\uc740 \ub4f1\ubd84\uc0b0\uc774\ub2e4.<\/li>\n<\/ol>\n<p>\uc774\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uac04\ub2e8\ud558\uac8c \ubaa8\ud615\uc73c\ub85c \ub098\ud0c0\ub0bc \uc218 \uc788\ub2e4. <\/p>\n<p>\\[\\mathbb{E}[\\mathbf{y}|\\mathbf{X}] = \\mathbf{X}^T \\mathbf{\\beta} + \\mathbf{e}, \\ \\ \\mathbf{e} \\sim \\mathcal{N}(\\vec{0}, \\Sigma), \\ \\Sigma = \\sigma^2 I\\]<\/p>\n<p>\uc774\ub54c \\(\\mathbf{y}\\) \ub294 \ubaa8\ub4e0 \uc885\uc18d\ubcc0\uc218\uac12\uc744 \ud3ec\ud568\ud558\ub294 \ubca1\ud130\uc774\uace0, \\(\\mathbf{e}\\) \uc5ed\uc2dc \ubaa8\ub4e0 \uc885\uc18d\ubcc0\uc218\uc5d0 \ud3ec\ud568\ub41c \uc624\ucc28\ud56d\uc744 \ub098\ud0c0\ub0b4\ub294 \ubca1\ud130\uc774\ub2e4.<\/p>\n<p>\uc120\ud615 \ud68c\uadc0 \ubd84\uc11d\uc740 \uc704\uc758 \ubaa8\ud615\uc5d0\uc11c \uc790\ub8cc\ub97c \ud1b5\ud574 \ubaa8\uc218\uc758 \ubca1\ud130 \\(\\mathbf{\\beta}\\) \uc640 \ubaa8\uc218 \\(\\sigma^2\\) \uc744 \ucd94\uc815\ud55c\ub2e4.<\/p>\n<h3>\uac00\uc815\uc5d0 \ub300\ud55c \uc0c1\uc138 \uc124\uba85<\/h3>\n<p>\uc120\ud615 \ud68c\uadc0\uc758 \uac00\uc815\uc744 \uc880 \ub354 \uc0c1\uc220\ud574\ubcf4\uc790.<\/p>\n<ol>\n<li>\n<p>\uc120\ud615\uc131 : \uc55e\uc5d0\uc11c \ub9d0\ud588\ub4ef\uc774 <strong>\uc120\ud615<\/strong>\uc740 \ubaa8\uc218\uc758 \uc120\ud615\uc744 \uc598\uae30\ud55c\ub2e4. \ud558\uc9c0\ub9cc \uc704\uc758 \uc2dd\uc744 \ubcf4\uba74 \\(\\mathbf{X}^T \\mathbf{\\beta}\\) \ub294 \\(\\mathbf{X}\\) \uc758 \uc120\ud615 \ud568\uc218\uc774\uae30\ub3c4 \ud55c\ub2e4. \uadf8\ub807\uc9c0\ub9cc \uad00\ucc30\ub41c \ubcc0\uc218\ub97c \ud544\uc694\uc640 \uc694\uad6c\uc5d0 \ub530\ub77c \ubcc0\ud658(transformation)\ud560 \uc218 \uc788\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \\(\\log x, x^2, \\frac{x_1}{x_2}\\) \ub4f1\uc744 \ub9cc\ub4e4\uc5b4 \uc0c8\ub85c\uc6b4 \uc124\uba85 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub2e4. \uc5b4\uca0b\ub4e0 \uc774 \uc0c8\ub85c\uc6b4 <strong>\uc124\uba85 \ubcc0\uc218\uc758 \uc120\ud615 \ud568\uc218<\/strong>\uc784\uc740 \ud2c0\ub9bc\uc5c6\ub2e4.<\/p>\n<\/li>\n<li>\n<p>\ub3c5\ub9bd\uc131 : \ub450 \ud655\ub960\ubcc0\uc218\uc758 \ub3c5\ub9bd\uc131\uc740 \ud754\ud788 \ub2e4\uc74c\uacfc \uac19\uc774 \ub098\ud0c0\ub0b8\ub2e4. \\(\\mathbb{P}(A \\cup B) = \\mathbb{P}(A) \\mathbb{P}(B)\\) \ub610\ub294 \\(\\mathbb{P}(A|B) = \\mathbb{P}(A)\\). \uc758\ubbf8\ub97c \ub9d0\ub85c \ub098\ud0c0\ub0b4\uba74, &ldquo;\ud655\ub960\ubcc0\uc218 \\(A\\) \ub294 \ud655\ub960\ubcc0\uc218 \\(B\\) \uac00 \ubb34\uc2a8 \uac12\uc778\uc9c0 \uc758\ud574 \uc804\ud600 \uc601\ud5a5\uc744 \ubc1b\uc9c0 \uc54a\ub294\ub2e4&rdquo;. \uc120\ud615\ud68c\uadc0\uc5d0\uc11c <strong>&ldquo;\uc885\uc18d\ubcc0\uc218\ub294 \ub2e4\ub978 \uc885\uc18d\ubcc0\uc218\uc758 \uac12\uc5d0 \uc758\ud574 \uc601\ud5a5\uc744 \ubc1b\uc9c0 \uc54a\ub294\ub2e4.&rdquo;<\/strong>\ub85c \uc694\uc57d\ud560 \uc218 \uc788\ub2e4. \ub3c5\ub9bd\uc801\uc774\uc9c0 \uc54a\uc740 \uc608\ub97c \ub4e4\uc5b4\ubcf4\uc790. \ud0a4\ub97c \uce21\uc815\ud560 \ub54c \uc55e\uc758 \ud559\uc0dd\uc774 \ud0a4\uac00 \ucee4\uc11c \ub4a4\uc758 \ud559\uc0dd\uc740 \uc790\uc2e0\ub3c4 \uc880 \ub354 \ud0a4\uac00 \ucee4 \ubcf4\uc774\ub824\uace0 \ubc1c\ub4a4\uafc8\uce58\ub97c \uc0b4\uc9dd \uc62c\ub9b0\ub2e4\uba74 \uc55e\uc758 \uce21\uc815\uac12\uc774 \ub4a4\uc758 \uce21\uc815\uac12\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294 \uacbd\uc6b0\uc774\ub2e4. \uc704\uc758 \ubaa8\ud615\uc5d0\uc11c\ub294 \uc624\ucc28\ud56d\uc758 \ubd84\uc0b0-\uacf5\ubd84\uc0b0 \ud589\ub82c \\(\\Sigma\\) \uc5d0\uc11c \ub300\uac01\uc6d0\uc18c\ub97c \uc81c\uc678\ud55c \ub098\uba38\uc9c0 \uc6d0\uc18c\ub4e4\uc774 \ubaa8\ub450 0\uc774 \ub418\ub294 \uc774\uc720\uc774\ub2e4( \\(\\Sigma = \\sigma^2 I\\) \ub77c\uba74, \\(i \\neq j\\) \uc77c \ub54c, \\(\\Sigma_{ij}=0\\). )<\/p>\n<\/li>\n<li>\n<p>\uc815\uaddc\uc131 : \uc624\ucc28\ud56d\uc740 \ub2e4\ubcc0\ub7c9 \uc815\uaddc\ubd84\ud3ec\ub97c \ub748\ub2e4. \\(\\mathcal{N}\\) \uc740 \uc815\uaddc\ubd84\ud3ec\ub97c \ub098\ud0c0\ub0b8\ub2e4. <\/p>\n<\/li>\n<li>\n<p>\ub4f1\ubd84\uc0b0\uc131 : \uc624\ucc28\ud56d\uc758 \ubd84\uc0b0\uc740 \ubaa8\ub4e0 \uc885\uc18d\ubcc0\uc218\uc5d0 \ub300\ud574 \ub3d9\uc77c\ud558\ub2e4. \uc704\uc758 \ubaa8\ud615\uc5d0\uc11c \\(\\Sigma = \\sigma^2 I\\) \ub85c \ub098\ud0c0\ub0bc \uc218 \uc788\ub294 \uc774\uc720\uc774\ub2e4. \\(\\Sigma = \\sigma^2 I\\) \uc5d0\uc11c \ub300\uac01 \uc6d0\uc18c \\(\\Sigma_{ii}\\) \ub294 \ubaa8\ub450 \\(\\sigma^2\\) \uc774\uace0, \uc774\ub294 \\(y_i\\) \uc758 \ubd84\uc0b0\uc744 \ub098\ud0c0\ub0b8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h2>LINE\uc758 \uac00\uc815\uc744 \uc6b0\ud68c\ud558\ub294 \ubc29\ubc95<\/h2>\n<ol>\n<li>\n<p>\uc124\uba85 \ubcc0\uc218\ub97c \ubcc0\ud658\ud558\uc5ec \uc0c8\ub85c\uc6b4 \uc124\uba85\ubcc0\uc218\ub97c \ub9cc\ub4e4\uc5b4\ub0c4\uc73c\ub85c\uc368 \uc124\uba85\ubcc0\uc218\uc640 \uacb0\uacfc\ubcc0\uc218\uc758 \uad00\uacc4\ub97c <strong>\ube44\uc120\ud615\uc801<\/strong>\uc73c\ub85c \ub9cc\ub4e4 \uc218 \uc788\ub2e4. <\/p>\n<\/li>\n<li>\n<p>\uacb0\uacfc \ubcc0\uc218\ub97c \ubcc0\ud658\ud558\uc5ec \uc124\uba85\ubcc0\uc218\uc640 \uacb0\uacfc\ubcc0\uc218\uc758 \uad00\uacc4\ub97c <strong>\ube44\uc120\ud615\uc801<\/strong>\uc73c\ub85c \ub9cc\ub4e4\uace0, <strong>\uc774\ubd84\uc0b0\uc131<\/strong>\uc744 \ub3c4\uc785\ud560 \uc218 \uc788\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h3>\uacb0\uacfc \ubcc0\uc218\uc758 \\(\\log\\) \ubcc0\ud658<\/h3>\n<p>\ub9cc\uc57d \uacb0\uacfc \ubcc0\uc218\ub97c \ubcc0\ud658\ud55c\ub2e4\uba74 \ub4f1\ubd84\uc0b0\uc131\uc774 \uc801\uc6a9\ub418\uc9c0 \uc54a\ub294 \uacbd\uc6b0\ub97c \ub098\ud0c0\ub0bc \uc218 \uc788\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \uc0ac\ud68c\ud559\uc5d0\uc11c \uc790\uc8fc \uc0ac\uc6a9\ud558\ub4ef\uc774 \uacb0\uacfc \ubcc0\uc218 \uc784\uae08\uc5d0 \\(\\log\\) \ud568\uc218\ub97c \uc801\uc6a9\ud574\ubcf4\uc790.<\/p>\n<p>\\[\\log(\\textrm{wage}) = \\beta_0 + \\beta_1 \\textrm{career} + \\beta_2 \\textrm{edu}\\]<\/p>\n<p>\uc5ec\uae30\uc11c \\(\\textrm{career}\\) \ub294 \uacbd\ub825 \uc5f0\uc218, \\(\\textrm{edu}\\) \uc740 \uad50\uc721 \uc5f0\uc218\ub97c \ub098\ud0c0\ub0b8\ub2e4.<\/p>\n<p>\uc774\ub97c \uc704\uc758 \uc120\ud615 \ud68c\uadc0 \ubaa8\ud615\uc744 \ud1b5\ud574 \ubd84\uc11d\ud55c\ub2e4\uba74, \\(\\log(\\textrm{wage}) = \\beta_0 + \\beta_1 \\textrm{career} + \\beta_2 \\textrm{edu} + e\\) \uc5d0\uc11c \\(e \\sim \\mathcal{N}(0, \\sigma^2)\\) \uc774\uace0, \uc774\ub294 \\(\\textrm{wage} = \\exp(\\beta_0 + \\beta_1 \\textrm{career} + \\beta_2 \\textrm{edu} + e)\\) \uacfc \ub3d9\uc77c\ud558\ub2e4.<\/p>\n<p>\uc774\ub97c \ub2e4\uc2dc \uc815\ub9ac\ud558\uba74 \ub2e4\uc74c\uacfc \uac19\ub2e4.<\/p>\n<p>\\[\\textrm{wage} = \\exp(\\beta_0 + \\beta_1 \\textrm{career} + \\beta_2 \\textrm{edu}) \\cdot \\exp(e)\\]<\/p>\n<p>\uc5ec\uae30\uc11c \ub2e4\uc2dc \ud3c9\uade0\uacfc \ubd84\uc0b0\uc744 \uad6c\ud574\ubcf4\uc790.<\/p>\n<p>\\(\\mathbb{E}[\\textrm{wage}] = \\mathbb{E}[\\exp(\\beta_0 + \\beta_1 \\textrm{career} + \\beta_2 \\textrm{edu})] \\mathbb{E}[\\exp(e)]\\) <\/p>\n<p>\uc774\ub54c \ub2e4\uc74c\uc758 \ub450 \uac00\uc9c0\ub97c \uc54c\uace0 \uc788\uc73c\uba74 \ub3c4\uc6c0\uc774 \ub41c\ub2e4. <\/p>\n<ol>\n<li>\ub450 \ubcc0\uc218 \\(X\\) , \\(Y\\) \uac00 \ub3c5\ub9bd\uc77c \ub54c, \\(\\mathbb{E}[XY]=\\mathbb{E}[X] \\mathbb{E}[Y]\\) \uc774\ub2e4.[<sup>lm2]<\/sup><\/li>\n<li>\\(X \\sim \\mathcal{N}(0, \\sigma^2)\\) \uc77c \ub54c, \\(\\mathbb{E}[\\exp(X)] = \\exp({\\sigma^2\/2})\\) .<\/li>\n<\/ol>\n<p>[<sup>lm2]:<\/sup> \uc0ac\uc2e4 \\(X\\) \ub294 \uace0\uc815\ub418\uc5b4 \uc788\ub2e4\uace0 \uac00\uc815\ud558\uae30 \ub54c\ubb38\uc5d0 \\(\\mathbb{E}[aY] = a\\mathbb{E}[Y]\\) \uac00 \ub354 \uc801\uc808\ud558\ub2e4. ( \\(a\\) : \uc0c1\uc218)<\/p>\n<p>\uc774\ub97c \ud65c\uc6a9\ud55c \uacb0\uacfc\ub294 \ub2e4\uc74c\uacfc \uac19\ub2e4.<\/p>\n<p>\\[\\mathbb{E}[\\textrm{wage}|\\textrm{career},\\textrm{edu} ] = \\exp(\\beta_0 + \\beta_1 \\textrm{career} + \\beta_2 \\textrm{edu})\\cdot  \\exp(\\sigma^2\/2)\\]<\/p>\n<p>\uc5ec\uae30\uc11c \uc8fc\ubaa9\ud560 \uc810\uc740 \\(\\mathbb{E}[\\textrm{wage}]\\) \uac00 \uc6b0\ub9ac\uac00 \uc608\uc0c1\ud558\ub4ef\uc774(\ud639\uc740 \uc6d0\ud558\ub4ef\uc774) \uc815\ud655\ud558\uac8c \\(\\exp(\\beta_0 + \\beta_1 \\textrm{career} + \\beta_2 \\textrm{edu})\\) \uac00 \uc544\ub2c8\ub77c\ub294 \uc810\uc774\ub2e4.<\/p>\n<p>\uc774\uc81c \\(\\mathbb{V}ar[\\textrm{wage}|\\textrm{career},\\textrm{edu} ]\\) \uc744 \uad6c\ud574\ubcf4\uc790.<\/p>\n<p>\\(\\textrm{wage} = \\exp(\\beta_0 + \\beta_1 \\textrm{career} + \\beta_2 \\textrm{edu}) \\exp(e)\\) \uc5d0\uc11c \\(\\textrm{career},\\textrm{edu}\\) \uac00 \uc815\ud574\uc84c\uc744 \ub54c \uc720\uc77c\ud55c \ud655\ub960\ubcc0\uc218 \\(e\\) \uc774\ub2e4. <\/p>\n<p>\\(X \\sim \\mathcal{N}(0, \\sigma^2)\\) \uc77c \ub54c, \\(\\mathbb{V}ar(X) = (\\exp(\\sigma^2) -1)\\exp(\\sigma^2)\\) \uc744 \ud65c\uc6a9\ud558\uba74 \\(e\\) \uc758 \ubd84\uc0b0\uc758 \ub2e4\uc74c\uacfc \uac19\ub2e4. <\/p>\n<p>\\[\\mathbb{V}ar(e |\\textrm{career},\\textrm{edu} ) = \\big(\\exp(\\beta_0 + \\beta_1 \\textrm{career} + \\beta_2 \\textrm{edu})\\big)^2(\\exp(\\sigma^2) -1)\\exp(\\sigma^2)\\]<\/p>\n<p>\\((\\exp(\\sigma^2) -1)\\exp(\\sigma^2)\\) \uc744 \ubcf4\uba74 \\(\\sigma^2\\) \uac00 \uc57d\uac04 \ubcc0\ud615\ub418\uc5c8\uc9c0\ub9cc, \uc5b4\uca0b\ub4e0 \\(\\sigma^2\\) \uac00 \uc0c1\uc218\ub77c\uba74, \uc5ec\uc804\ud788 \uc0c1\uc218\uc774\ub2e4. \ud558\uc9c0\ub9cc \\(\\big(\\exp(\\beta_0 + \\beta_1 \\textrm{career})\\big)^2\\) \uc744 \ubcf4\uba74, \uc774 \uac12\uc740 \uc124\uba85\ubcc0\uc218\uc758 \uac12\uc5d0 \ub530\ub77c \ubcc0\ud558\ub294 \uac12\uc774\ub2e4. \ub530\ub77c\uc11c \uc624\ucc28\ud56d \\(e\\) \ub294 \uc124\uba85\ubcc0\uc218\uc758 \uac12\uc5d0 \ub530\ub77c \ubcc0\ud558\ub294 \uac12\uc73c\ub85c, LIN<strong>E<\/strong>\uc758 <strong>\ub4f1\ubd84\uc0b0\uc131\uc774 \uc131\ub9bd\ud558\uc9c0 \uc54a\uc74c<\/strong>\uc744 \uc54c \uc218 \uc788\ub2e4.<\/p>\n<h3>\uc815\ub9ac : \uacb0\uacfc\ubcc0\uc218\uc758 \\(\\log\\) \ubcc0\ud658<\/h3>\n<p>\\(\\log(y) = \\beta_0 + \\beta_1 x_1 + \\beta_2 x_2 + e\\), \\(e \\sim \\mathcal{N}(0, \\sigma^2)\\) \uc77c \ub54c, \ud3c9\uade0\uacfc \ubd84\uc0b0\uc740 \ub2e4\uc74c\uacfc \uac19\ub2e4. <\/p>\n<p>\\(\\mathbb{E}[y | x_1, x_2] = \\exp(\\beta_0 + \\beta_1 x_1 + \\beta_2 x_2) \\exp(\\sigma^2\/2)\\) <\/p>\n<p>\\(\\mathbb{V}ar[y | x_1, x_2] = \\big(\\exp(\\beta_0 + \\beta_1 x_1 + \\beta_2 x_2)\\big)^2(\\exp(\\sigma^2) -1)\\exp(\\sigma^2)\\) <\/p>\n<p>\ub530\ub77c\uc11c \uc124\uba85\ubcc0\uc218\uc640 \uacb0\uacfc\ubcc0\uc218\uc758 \ube44\uc120\ud615\uc131\uc744 \uace0\ub824\ud558\uae30 \uc704\ud574 \uacb0\uacfc\ubcc0\uc218\uc5d0 \\(\\log\\) \ud568\uc218\ub97c \ucde8\ud55c \ud6c4, \uae30\uacc4\uc801\uc73c\ub85c \uc5ed\ud568\uc218\ub97c \uad6c\ud558\ub294 \uac83\uc740 \uc758\ub3c4\ud55c \ubc14\uc640 \ub2e4\ub978 \uacb0\uacfc\ub97c \uc5bb\uc744 \uc218 \uc788\ub2e4.<\/p>\n<p>\uc608\ub97c \ub4e4\uc5b4 \\(\\log(y)\\) \ub85c \uc120\ud615 \ud68c\uadc0 \ubd84\uc11d\uc744 \ud55c \ud6c4, \\(\\mathbb{E}[y|x_1, \\cdots, x_p] = \\exp(\\beta_0 + \\beta_1 x_1 + \\cdots \\beta_p x_p)\\) \ub77c\uace0 \uc0dd\uac01\ud558\uba74 \uc798\ubabb\uc774\ub2e4. \uc704\uc5d0\uc11c \ud655\uc778\ud588\ub4ef\uc774 \\(\\sigma^2\\) \uac00 \ud074 \uc218\ub85d \\(\\mathbb{E}[y|x_1, \\cdots, x_p]\\) \uacfc \\(\\exp(\\beta_0 + \\beta_1 x_1 + \\cdots \\beta_p x_p)\\) \uc758 \ucc28\uc774\ub294 \ucee4\uc9c4\ub2e4. <\/p>\n<p>\ubc18\uba74 \\(\\mathbb{E}[\\log(y)|x_1, \\cdots, x_p] = \\beta_0 + \\beta_1 x_1 + \\beta_2 x_2 + \\cdots + \\beta_p x_p\\) \ub294 \uc815\ud655\ud558\ub2e4.<\/p>\n<p>\uc0ac\uc2e4 \uc880 \ub354 \uc815\ud655\ud55c \ud574\uc11d\uc740 \\(y | x_1, x_2, \\cdots, x_p \\sim \\textrm{Lognormal}(\\tilde{\\mu}, \\tilde{\\sigma^2} )\\)(\\(\\tilde{\\mu} = \\beta_0 + \\beta_1 x_1 + \\beta_2 x_2 + \\cdots + \\beta_p x_p\\) ) \uc774\ub2e4. <\/p>\n<p>\\(\\log(y) = \\beta_0 + \\beta_1 x_1 + \\beta_2 x_2 + \\cdots + \\beta_p x_p + e\\), \\(e \\sim \\mathcal{N}(0, \\sigma^2)\\) \uc77c \ub54c, \ud655\ub960\ubcc0\uc218 \\(y\\) \ub294 \ub85c\uadf8\ub178\uba40 \ubd84\ud3ec\ub97c \ub744\uace0, \uc774\ub54c \ub85c\uadf8\ub178\uba40 \ubd84\ud3ec\uc758 \ubaa8\uc218\uc778 \\(\\tilde{\\mu}\\) \uc640 \\(\\tilde{\\sigma^2}\\) \ub294 \\(\\tilde{\\mu} = \\beta_0 + \\beta_1 x_1 + \\beta_2 x_2 + \\cdots + \\beta_p x_p\\) , \\(\\tilde{\\sigma^2} = \\sigma\\) \uc774\ub2e4. <\/p>\n<p>\ub2e4\uc74c\uc740 \\(\\textrm{Lognormal}\\) \ubd84\ud3ec\uc758 \ubaa8\uc218 \\(\\mu\\) \uc640 \ud3c9\uade0\uc758 \ucc28\uc774\ub97c \ubcf4\uc5ec\uc900\ub2e4. \ub85c\uadf8\uc815\uaddc\ubd84\ud3ec\ub780 \ud655\ub960\ubcc0\uc218\uc5d0 \ub85c\uadf8\ub97c \ucde8\ud588\uc744 \ub54c \uc815\uaddc\ubd84\ud3ec(normal distribution)\uc774 \ub418\ub294 \ubd84\ud3ec\ub77c\uace0 \uc0dd\uac01\ud558\uba74 \uc27d\ub2e4. ( \\(\\textrm{Lognormal}\\) \ubd84\ud3ec\uc758 \ubaa8\uc218 \\(\\mu\\) \ub294 \ub85c\uadf8 \uc815\uaddc\ubd84\ud3ec\ub97c \ub744\ub294 \ud655\ub960\ubcc0\uc218 \\(X\\) \ub97c \ub85c\uadf8 \ubcc0\ud658\ud588\uc744 \ub54c <strong>\ud3c9\uade0<\/strong>\uc774\ub2e4. \ub530\ub77c\uc11c \uc77c\uc885\uc758 \ud3c9\uade0\uc778\ub370, \ud655\ub960\ubcc0\uc218 \\(X\\) \uc758 \ud3c9\uade0\uc774 \uc544\ub2c8\ub2e4. \uadf8\ub9ac\uace0 \ud655\ub960\ubcc0\uc218 \\(X\\) \uc758 \ud3c9\uade0\uc774 \ubc18\ub4dc\uc2dc \\(\\exp(\\mu)\\) \uac00 \ub418\ub294 \uac83\ub3c4 \uc544\ub2d8\uc744 \uc720\uc758\ud574\uc57c \ud55c\ub2e4.)<\/p>\n<pre><code class=\"r\">curve(dlnorm(x, meanlog=0, sdlog=sqrt(1)), xlim=c(0, 3)) # X ~ lognormal(mu=0, sigma^2 = 1)\nabline(v=exp(0)) # exp(mu=0)\nabline(v=exp(0)*exp(1\/2), lty=&#39;dotted&#39;) # E[X] \n<\/code><\/pre>\n<p><img src=\"data:image\/png;base64,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\" alt=\"plot of chunk unnamed-chunk-1\"\/><\/p>\n<h3>\uacb0\uacfc \ubcc0\uc218 \\(\\log\\) \ubcc0\ud658 \ubaa8\ud615 \uc2dc\uac01\ud654<\/h3>\n<p>\ub2e4\uc74c\uc758 \uadf8\ub798\ud504\ub294 \uc544\ub798\uc758 \ubaa8\ud615\uc744 \uc2dc\uac01\ud654\ud55c \uac83\uc774\ub2e4. \uc9c1\uc120\uc740 \\(\\log(y)\\) \uc758 \ud3c9\uade0\uc744 \\(\\exp\\) \ubcc0\ud658\uc2dc\ud0a8 \uac12\uc774\uace0, \uc74c\uc601\uc740 \\(\\log(y)\\) \uc758 95% \uad6c\uac04\uc744 \ub2e4\uc2dc \\(\\exp\\) \ubcc0\ud658 \uc2dc\ud0a8 \uad6c\uac04\uc774\ub2e4.<\/p>\n<p>\\[\\log(y) =  3 + 0.4x + e, \\ \\ e \\sim \\mathcal{N}(0,0.2^2)\\]<\/p>\n<pre><code class=\"r\">xpred &lt;- seq(-3,3,length.out=100)\nlogypred &lt;- 3 + 0.4*xpred\nlogymin &lt;- 3 + 0.4*xpred - 1.96*0.2\nlogymax &lt;- 3 + 0.4*xpred + 1.96*0.2\nypred &lt;- exp(logypred)\nymin &lt;- exp(logymin)\nymax &lt;- exp(logymax)\ndatPred &lt;- data.frame(ypred=ypred, ymin=ymin, ymax=ymax, xpred=xpred)\n\nN &lt;- 100\nx &lt;- rnorm(N)\nlogy &lt;- 3 + 0.4*x + 0.2*rnorm(N)\ndat &lt;- data.frame(x=x, y=exp(logy))\n\nrequire(ggplot2)\nggplot(datPred, aes(x=xpred, y=ypred)) + geom_line() + \n  geom_ribbon(data=datPred, aes(x=xpred, y=ypred, ymin=ymin, ymax=ymax), alpha=0.2) +\n  geom_point(data=dat, aes(x=x, y=y), alpha=0.4) +\n  scale_x_continuous(name=&#39;x&#39;) + \n  scale_y_continuous(name=&#39;y&#39;)\n<\/code><\/pre>\n<pre>## Warning: Ignoring unknown aesthetics: y\n<\/pre>\n<p><img src=\"data:image\/png;base64,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\" alt=\"plot of chunk unnamed-chunk-2\"\/><\/p>\n<p>\uc55e\uc5d0\uc11c \\(\\exp(\\mathbb{E}[\\log(y)|\\vec{x}])\\) \uc640 \\(\\mathbb{E}[y|\\vec{x}]\\) \uac00 \ucc28\uc774\uac00 \ub0a8\uc744 \ubcf4\uc600\uc9c0\ub9cc, \uc2e4\uc81c \ubd84\uc11d\uc5d0\uc11c \\(\\sigma^2\\) \uac00 \\(0\\) \uc5d0 \uac00\uae5d\ub2e4\uba74 \ub294 \ud06c\uac8c \ucc28\uc774\uac00 \ub098\uc9c0 \uc54a\ub294\ub2e4. (\ubc18\ub300\ub85c \\(\\sigma^2\\) \uac00 \ucee4\uc9c8\uc218\ub85d \ucc28\uc774\uac00 \ub450\ub4dc\ub7ec\uc9c4\ub2e4.) <\/p>\n<p>\ub2e4\uc74c\uc758 \uc608\uc2dc\uc5d0\uc11c \ub450 \ubc88\uc9f8 \uadf8\ub798\ud504\uc758 \uc790\ub8cc \\(x\\) \uc640 \\(\\log y\\) \ub294 \uccab \ubc88\uc9f8 \uadf8\ub798\ud504\uc758 \uc790\ub8cc\ub97c \ub2e8\uc9c0 5\ubc30\ud55c \uac83\uc774\ub2e4. \ud558\uc9c0\ub9cc \uadf8\uc5d0 \ub530\ub77c \\(log(y)\\) \uc758 \uae30\ub300\uac12\uacfc \\(y\\) \uc758 \uae30\ub300\uac12\uc774 \uc5b4\ub5bb\uac8c \ub2ec\ub77c\uc9c0\ub294 \ud655\uc778\ud574 \ubcf4\uc790.  (\uc2e4\uc120 : \\(\\exp(\\hat{\\mathbb{E}[\\log y|x]})\\) , \uc810\uc120 : \\(\\hat{\\mathbb{E}[y|x]}\\) )<\/p>\n<pre><code class=\"r\">N &lt;- 100\nx &lt;- 0.2*rnorm(N)\ne &lt;- 0.1*rnorm(N)\ny0 &lt;- 1 + .5*x + .3*e\ny &lt;- exp(y0)\nfitLm &lt;- lm(y0 ~ x)\nnewdata = data.frame(x=seq(min(x), max(x), length.out=100))\nymu &lt;- exp(predict(fitLm, newdata=newdata))\nyE &lt;- exp(predict(fitLm, newdata=newdata))*exp(sigma(fitLm)^2\/2)\n\ndat &lt;- data.frame(x=x, y=y)\nrequire(ggplot2)\nggplot(dat, aes(x=x, y=y)) + geom_point() + \n  geom_line(data=newdata, aes(x=x, y=ymu)) + \n  geom_line(data=newdata, aes(x=x, y=yE), linetype=&#39;dotted&#39;)\n<\/code><\/pre>\n<p><img src=\"data:image\/png;base64,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\" alt=\"plot of chunk unnamed-chunk-3\"\/><\/p>\n<pre><code class=\"r\">#N &lt;- 100\n#x &lt;- 0.6*rnorm(N)\n#e &lt;- 0.3*rnorm(e)\nx &lt;- 5*x\ne &lt;- 5*e\ny0 &lt;- 5*y\ny &lt;- exp(y0)\nfitLm &lt;- lm(y0 ~ x)\nnewdata = data.frame(x=seq(min(x), max(x), length.out=100))\nymu &lt;- exp(predict(fitLm, newdata=newdata))\nyE &lt;- exp(predict(fitLm, newdata=newdata))*exp(sigma(fitLm)^2\/2)\n\ndat &lt;- data.frame(x=x, y=y)\nrequire(ggplot2)\nggplot(dat, aes(x=x, y=y)) + geom_point() + \n  geom_line(data=newdata, aes(x=x, y=ymu)) + \n  geom_line(data=newdata, aes(x=x, y=yE), linetype=&#39;dotted&#39;)\n<\/code><\/pre>\n<p><img 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Px7fP3\/059D50PoA\/H\/\/7+9\/+NfQ+dD6APxvfPv\/0l\/9THvjT8e2zWeD9X+SBFx3Aiw7gRQfwogN40QG86ABedPwfgbJ8qyB2eUgAAAAASUVORK5CYII=\" alt=\"plot of chunk unnamed-chunk-4\"\/><\/p>\n<h2>\uc815\ub9ac<\/h2>\n<p>\uc124\uba85\ubcc0\uc218 \ub610\ub294 \uacb0\uacfc\ubcc0\uc218\ub97c \ubcc0\ud658\ud568\uc73c\ub85c\uc368 \uc124\uba85 \ubcc0\uc218\uc640 \uacb0\uacfc\ubcc0\uc218\uc758 <strong>\ube44\uc120\ud615\uc801 \uad00\uacc4<\/strong>\ub97c \ubaa8\ud615\ud654\ud560 \uc218 \uc788\ub2e4. \uacb0\uacfc\ubcc0\uc218\ub97c \ubcc0\ud658\ud558\uba74 <strong>\uc774\ubd84\uc0b0\uc131(heteroscedasticity)<\/strong> \uc5ed\uc2dc \ubaa8\ud615\ud654\ud560 \uc218 \uc788\ub2e4. \uc774 \ub54c OLS\ub294 \uacb0\uacfc\ubcc0\uc218\ub97c \ubcc0\ud658\ud55c \ubcc0\uc218\uac00 \uc815\uaddc\ubd84\ud3ec\ub97c \ub748\ub2e4\uace0 \uac00\uc815\ud558\ubbc0\ub85c \uacb0\uacfc\ubcc0\uc218\ub294 \uc815\uaddc\ubd84\ud3ec\uc640 \ub2e4\ub978 \ubd84\ud3ec\ub97c \ub74c \uc218\ub3c4 \uc788\ub2e4. <\/p>\n<p>\uc774\ub54c <strong>\uacb0\uacfc\ubcc0\uc218\uc758 \ud3c9\uade0<\/strong>\uacfc <strong>\uacb0\uacfc\ubcc0\uc218\ub97c \ubcc0\ud658\ud55c \uac12\uc758 \ud3c9\uade0\uc744 \ub2e4\uc2dc \uc5ed\ubcc0\ud658 \uac12<\/strong>\uc740 \ub2e4\ub97c \uc218\ub3c4 \uc788\uc74c\uc744 \uc720\uc758\ud558\uc790.[<sup>3]<\/sup><\/p>\n<p>[<sup>3]:<\/sup> \uc0ac\uc2e4 \uc880 \ub354 \uc911\uc694\ud55c \ubd80\ubd84\uc740 \\(\\beta_0\\) , \\(\\beta_1\\) \uacfc \uac19\uc740 \uacc4\uc218\uc758 \ud574\uc11d\uc774\ub2e4. \ud558\uc9c0\ub9cc \uc218\ud559\uc801\uc73c\ub85c \ubcf4\uba74 \ub2e8\uc21c\ud55c \uacc4\uc0b0\uc73c\ub85c \uadf8 \uc758\ubbf8\ub97c \ud30c\uc545\ud560 \uc218 \uc788\uae30 \ub54c\ubb38\uc5d0 \uc5ec\uae30\uc11c\ub294 \uc0dd\ub7b5\ud558\uc600\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc120\ud615 \ud68c\uadc0\uc758 \uac00\uc815 \uc120\ud615 \ud68c\uadc0\uc758 4\uac00\uc9c0 \uac00\uc815\uc740 LINE\uc73c\ub85c \uc815\ub9ac\ud560 \uc218 \uc788\ub2e4. (\uc774 LINE\uc774\ub77c\ub294 \uc57d\uc5b4\ub294 \uc5b4\ub5a4 \ucc45\uc5d0\uc11c \ubd24\ub294\ub370, \ucd9c\ucc98\ub294 \uc815\ud655\ud788 \uae30\uc5b5\ub098\uc9c0 \uc54a\ub294\ub2e4.) Linearity(\uc120\ud615\uc131) : \uc885\uc18d\ubcc0\uc218\ub294 \uc124\uba85\ubcc0\uc218\uc758 \uc120\ud615 \ud568\uc218\uc774\ub2e4. Independence(\ub3c5\ub9bd\uc131): \uc885\uc18d\ubcc0\uc218\ub294 \uad00\ucc30\uac12\uc5d0 \uc870\uac74\ubd80\ub85c \ub3c5\ub9bd\uc774\ub2e4. Normality(\uc815\uaddc\uc131): \uc624\ucc28\uc758 \ubd84\ud3ec\ub294 \uc815\uaddc\ubd84\ud3ec\uc774\ub2e4. Equal Varaince(\ub4f1\ubd84\uc0b0\uc131): \uc624\ucc28\uc758 \ubd84\uc0b0\uc740 \ub4f1\ubd84\uc0b0\uc774\ub2e4. \uc774\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uac04\ub2e8\ud558\uac8c \ubaa8\ud615\uc73c\ub85c \ub098\ud0c0\ub0bc \uc218 \uc788\ub2e4. \\[\\mathbb{E}[\\mathbf{y}|\\mathbf{X}] = \\mathbf{X}^T \\mathbf{\\beta} + \\mathbf{e}, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1849,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[146,319],"tags":[342,340,341,339,343,321,344],"jetpack_featured_media_url":"http:\/\/ds.sumeun.org\/wp-content\/uploads\/2019\/06\/lm_05_logy.png","_links":{"self":[{"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/posts\/1844"}],"collection":[{"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1844"}],"version-history":[{"count":10,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/posts\/1844\/revisions"}],"predecessor-version":[{"id":1855,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/posts\/1844\/revisions\/1855"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/media\/1849"}],"wp:attachment":[{"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1844"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1844"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1844"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}