{"id":7682,"date":"2024-02-29T16:30:00","date_gmt":"2024-02-29T21:30:00","guid":{"rendered":"https:\/\/www.icesi.edu.co\/editorial\/?p=7682"},"modified":"2025-02-12T12:03:09","modified_gmt":"2025-02-12T17:03:09","slug":"modelo-clasico","status":"publish","type":"post","link":"https:\/\/www.icesi.edu.co\/editorial\/modelo-clasico\/","title":{"rendered":"Introducci\u00f3n al modelo cl\u00e1sico de regresi\u00f3n para cient\u00edficos de datos en R"},"content":{"rendered":"<p><a href=\"https:\/\/repository.icesi.edu.co\/biblioteca_digital\/bitstream\/10906\/119192\/1\/alonso_modelorRegresiones_2024.pdf\" target=\"_blank\" rel=\"noopener\">Download\/Descargar<\/a> | <a href=\"https:\/\/www.icesi.edu.co\/editorial\/modelo-clasico-web\/\" target=\"_blank\" rel=\"noopener\">Leer en l\u00ednea<\/a><br \/>\n<strong>T\u00edtulo completo:<\/strong> Introducci\u00f3n al modelo cl\u00e1sico de regresi\u00f3n para cient\u00edficos de datos en R.<br \/>\n<strong>Autores:<\/strong> Julio C\u00e9sar Alonso C.<br \/>\n<strong>Colecci\u00f3n:<\/strong> Herramientas del Big Data y Analytics | <strong>N\u00famero:<\/strong> 4.<br \/>\n<strong>Editorial:<\/strong> Universidad Icesi.<br \/>\n<strong>ISBN:<\/strong> 978-628-7630-70-3 (eBook).<br \/>\n<strong>A\u00f1o de edici\u00f3n:<\/strong> 2024.<br \/>\n<span id=\"post-ratings-7682\" class=\"post-ratings\" data-nonce=\"e29433c054\"><img decoding=\"async\" id=\"rating_7682_1\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/stars_crystal\/rating_on.gif\" alt=\"1 estrella\" title=\"1 estrella\" onmouseover=\"current_rating(7682, 1, '1 estrella');\" onmouseout=\"ratings_off(4.8, 5, 0);\" onclick=\"rate_post();\" onkeypress=\"rate_post();\" style=\"cursor: pointer; border: 0px;\" \/><img decoding=\"async\" id=\"rating_7682_2\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/stars_crystal\/rating_on.gif\" alt=\"2 estrellas\" title=\"2 estrellas\" onmouseover=\"current_rating(7682, 2, '2 estrellas');\" onmouseout=\"ratings_off(4.8, 5, 0);\" onclick=\"rate_post();\" onkeypress=\"rate_post();\" style=\"cursor: pointer; border: 0px;\" \/><img decoding=\"async\" id=\"rating_7682_3\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/stars_crystal\/rating_on.gif\" alt=\"3 estrellas\" title=\"3 estrellas\" onmouseover=\"current_rating(7682, 3, '3 estrellas');\" onmouseout=\"ratings_off(4.8, 5, 0);\" onclick=\"rate_post();\" onkeypress=\"rate_post();\" style=\"cursor: pointer; border: 0px;\" \/><img decoding=\"async\" id=\"rating_7682_4\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/stars_crystal\/rating_on.gif\" alt=\"4 estrellas\" title=\"4 estrellas\" onmouseover=\"current_rating(7682, 4, '4 estrellas');\" onmouseout=\"ratings_off(4.8, 5, 0);\" onclick=\"rate_post();\" onkeypress=\"rate_post();\" style=\"cursor: pointer; border: 0px;\" \/><img decoding=\"async\" id=\"rating_7682_5\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/stars_crystal\/rating_half.gif\" alt=\"5 estrellas\" title=\"5 estrellas\" onmouseover=\"current_rating(7682, 5, '5 estrellas');\" onmouseout=\"ratings_off(4.8, 5, 0);\" onclick=\"rate_post();\" onkeypress=\"rate_post();\" style=\"cursor: pointer; border: 0px;\" \/> (<strong>28<\/strong> votos, promedio: <strong>4,75<\/strong> sobre 5)<br \/><span class=\"post-ratings-text\" id=\"ratings_7682_text\"><\/span><\/span><span id=\"post-ratings-7682-loading\" class=\"post-ratings-loading\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/loading.gif\" width=\"16\" height=\"16\" class=\"post-ratings-image\" \/>Loading...<\/span>\n<table style=\"border: none;\">\n<tbody style=\"border: none;\">\n<tr valign=\"top\">\n<td valign=\"top\" style=\"border: none; vertical-align: top; height: 50%; width: 125px;\"><script type=\"text\/javascript\" src=\"\/\/cdn.plu.mx\/widget-popup.js\"><\/script><a href=\"https:\/\/plu.mx\/plum\/a\/?doi=10.18046\/EUI\/bda.h.4\" data-popup=\"right\" data-size=\"large\" class=\"plumx-plum-print-popup\" data-site=\"plum\" data-hide-when-empty=\"true\" data-lang=\"es\" target=\"_blank\" rel=\"noopener\">Introducci\u00f3n al modelo cl\u00e1sico de regresi\u00f3n para cient\u00edficos de datos en R<\/a>\n<\/td>\n<td style=\"border: none; vertical-align: top; height: 50%; width: 125px;\"><script type=\"text\/javascript\" src=\"https:\/\/d1bxh8uas1mnw7.cloudfront.net\/assets\/embed.js\"><\/script><\/p>\n<div class=\"altmetric-embed\" data-badge-type=\"donut\" data-altmetric-id=\"\"><\/div>\n<\/td>\n<td style=\"border: none; vertical-align: middle;\"><span class=\"__dimensions_badge_embed__\" data-doi=\"10.18046\/EUI\/bda.h.4\" data-hide-zero-citations=\"true\" data-legend=\"hover-right\" data-style=\"small_circle\"><\/span><script async=\"\" src=\"https:\/\/badge.dimensions.ai\/badge.js\" charset=\"utf-8\"><\/script><\/td>\n<td style=\"border: none; vertical-align: middle; align=center; width: 80px;\"><a href=\"https:\/\/directory.doabooks.org\/handle\/20.500.12854\/150723.2\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2025\/02\/DOAB-icono.png\" alt=\"DOAB Icono\" width=\"75px\" align=\"left\"><\/a><br \/>\n<a href=\"https:\/\/dialnet.unirioja.es\/servlet\/libro?codigo=993849\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2025\/02\/ICONO-dialnet.png\" alt=\"DIALNET Icono\" width=\"75px\" align=\"left\"><\/a><\/td>\n<td style=\"border: none; vertical-align: middle; align=left; width: 295px;\"><\/td>\n<\/tr>\n<\/table>\n<div class=\"osc-res-tab tabbable   osc-tabs-left\"><div style=\"clear:both;width: 100%;\"><ul class=\"nav osc-res-nav nav-pills osc-tabs-left-ul\" id=\"oscitas-restabs-1-modelo-clasico-85693\"><li class=\"active\"><a href=\"#ert_pane1-0\" data-toggle=\"tab\">Descripci\u00f3n<\/a><\/li><li class=\"\"><a href=\"#ert_pane1-1\" data-toggle=\"tab\">Contenido<\/a><\/li><li class=\"\"><a href=\"#ert_pane1-2\" data-toggle=\"tab\">Descargables<\/a><\/li><li class=\"\"><a href=\"#ert_pane1-3\" data-toggle=\"tab\">Autor(es)<\/a><\/li><li class=\"\"><a href=\"#ert_pane1-4\" data-toggle=\"tab\">Catalogaci\u00f3n<\/a><\/li><\/ul><\/div><div style=\"clear:both;width: 100%;\"><ul class=\"tab-content\" id=\"oscitas-restabcontent-1-modelo-clasico-85693\"><li class=\"tab-pane active\" id=\"ert_pane1-0\"><p style=\"text-align: justify;\">En la pr\u00e1ctica es com\u00fan encontrarse con cient\u00edficos de datos que emplean el modelo de regresi\u00f3n m\u00faltiple para resolver preguntas de negocio. Si bien es popular ese uso, es poco frecuente observar en la pr\u00e1ctica el chequeo de todos los supuestos que est\u00e1n detr\u00e1s de este modelo y que hacen que \u00e9ste pueda generar respuestas adecuadas. El objetivo de este libro es presentar el modelo estad\u00edstico cl\u00e1sico de regresi\u00f3n m\u00faltiple con toda la formalidad posible a los cient\u00edficos de datos. Para lograr este objetivo se presenta una mezcla entre los fundamentos (estad\u00edsticos y de \u00e1lgebra lineal) te\u00f3ricos del modelo y c\u00f3mo llevarlo a la pr\u00e1ctica empleando R.<\/p>\n<p style=\"text-align: justify;\"><strong>C\u00f3mo citar (APA):<\/strong> Alonso, J. C. (2024). <i>Introducci\u00f3n al modelo cl\u00e1sico de regresi\u00f3n para cient\u00edficos de datos en R<\/i>. Cali: Editorial Universidad Icesi. DOI: <a href=\"https:\/\/doi.org\/10.18046\/EUI\/bda.h.4\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.18046\/EUI\/bda.h.4<\/a><\/p><\/li><li class=\"tab-pane \" id=\"ert_pane1-1\"><strong>Tabla de contenido:<\/strong><\/p>\n<p>Prefacio<\/p>\n<p><strong>1 \/ Introducci\u00f3n<\/strong><\/p>\n<p><strong><u>I El modelo cl\u00e1sico de regresi\u00f3n m\u00faltiple<\/u><\/strong><\/p>\n<p><strong>2 \/ Modelo de regresi\u00f3n m\u00faltiple<\/strong><\/p>\n<p><strong>3 \/ Inferencia y an\u00e1lisis de regresi\u00f3n<\/strong><\/p>\n<p><strong>4 \/ Comparaci\u00f3n de Modelos<\/strong><\/p>\n<p><strong><u>II Extendiendo el modelo cl\u00e1sico de regresi\u00f3n m\u00faltiple<\/u><\/strong><\/p>\n<p><strong>5 \/ Variables dummy<\/strong><\/p>\n<p><strong>6 \/ Selecci\u00f3n autom\u00e1tica de modelos<\/strong><\/p>\n<p><strong>7 \/ Primer caso de negocio<\/strong><\/p>\n<p><strong><u>III Problemas econom\u00e9tricos<\/u><\/strong><\/p>\n<p><strong>8 \/ Multicolinealidad<\/strong><\/p>\n<p><strong>9 \/ Heteroscedasticidad<\/strong><\/p>\n<p><strong>10 \/ Primer caso de negocio (actualizado)<\/strong><\/p>\n<p><strong>11 \/ Autocorrelaci\u00f3n<\/strong><\/p>\n<p><strong><u>IV Modelo de regresi\u00f3n y la anal\u00edtica predictiva<\/u><\/strong><\/p>\n<p><strong>12 \/ Predicciones en corte transversal<\/strong><\/p>\n<p><strong>13 \/ Segundo caso de negocio<\/strong><\/p>\n<p><strong><u>V Ap\u00e9ndices: Conceptos b\u00e1sicos \u00e1lgebra matricial y estad\u00edstica<\/u><\/strong><\/p>\n<p><strong>14 \/ Elementos de \u00e1lgebra matricial<\/strong><\/p>\n<p><strong>15 \/ Elementos de Estad\u00edstica<\/strong><\/p>\n<p><strong><u>VI Respuestas a ejercicios del final del cap\u00edtulo<\/u><\/strong><\/p>\n<p><strong>16 \/ Respuestas a los ejercicios seleccionados<\/strong><\/p>\n<p>Bibliograf\u00eda<\/p>\n<p>\u00cdndice alfab\u00e9tico<br \/><\/li><li class=\"tab-pane \" id=\"ert_pane1-2\"><ul>\n<li style=\"text-align: justify;\">BDA_H_04 \u2013 Data (zip) | <a href=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2024\/04\/Data.zip\" target=\"_blank\" rel=\"noopener\">Descargar<\/a>.<\/li>\n<li style=\"text-align: justify;\">BDA_H_04 \u2013 DataFinalCap (zip) | <a href=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2024\/04\/DataFinalCap.zip\" target=\"_blank\" rel=\"noopener\">Descargar<\/a>.<\/li>\n<\/ul><\/li><li class=\"tab-pane \" id=\"ert_pane1-3\"><ul>\n<li style=\"text-align: justify;\"><a href=\"https:\/\/orcid.org\/0000-0003-4890-7122\" target=\"_blank\" title=\"ORCID iD\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1012\" src=\"http:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2020\/06\/ORCIDiD_icon16x16.png\" style=\"margin-right: 6px;\" alt=\"Icono ORCID\" width=\"16\" height=\"16\"><\/a><b>Julio C\u00e9sar Alonso C.<\/b>, Universidad Icesi (Cali, Colombia)<\/li>\n<\/ul><\/li><li class=\"tab-pane \" id=\"ert_pane1-4\"><table>\n<tbody>\n<tr class=\"first odd\">\n<th width=\"160\">\n<p style=\"text-align: left;\">T\u00edtulo (ingl\u00e9s):<\/p>\n<\/th>\n<td class=\"data last\">Introduction to Classic Regression Modeling for Data Scientists in R.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">DOI\/URL:<\/p>\n<\/th>\n<td class=\"data last\"><a href=\"https:\/\/doi.org\/10.18046\/EUI\/bda.h.4\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.18046\/EUI\/bda.h.4<\/a><\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Editorial(es):<\/p>\n<\/th>\n<td class=\"data last\">Universidad Icesi.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">Autor(es):<\/p>\n<\/th>\n<td class=\"data last\">Julio C\u00e9sar Alonso C.<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Palabras clave:<\/p>\n<\/th>\n<td class=\"data last\">R, Regresiones, Lenguaje estad\u00edstico, Big Data Analytics.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">ISBN:<\/p>\n<\/th>\n<td class=\"data last\">978-628-7630-70-3 (eBook).<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Fecha de edici\u00f3n:<\/p>\n<\/th>\n<td class=\"data last\">Febrero de 2024.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">No. de p\u00e1ginas:<\/p>\n<\/th>\n<td class=\"data last\">415.<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Idioma(s):<\/p>\n<\/th>\n<td class=\"data last\">Espa\u00f1ol.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">Formato(s):<\/p>\n<\/th>\n<td class=\"data last\">Libro electr\u00f3nico (eBook).<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Alto x ancho:<\/p>\n<\/th>\n<td class=\"data last\">27,9 x 21,5 cm.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">Colecci\u00f3n:<\/p>\n<\/th>\n<td class=\"data last\">Herramientas del Big Data y Analytics (4).<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Producto:<\/p>\n<\/th>\n<td class=\"data last\">Libro de texto.<\/td>\n<\/tr>\n<tr class=\"last even\">\n<th>\n<p style=\"text-align: left;\">Observaciones:<\/p>\n<\/th>\n<td class=\"data last\">Incluye referencias bibliogr\u00e1ficas.<\/td>\n<\/tr>\n<tr class=\"last odd\">\n<th>\n<p style=\"text-align: left;\">Registro DSpace:<\/p>\n<\/th>\n<td class=\"data last\"><a href=\"https:\/\/doi.org\/10.18046\/EUI\/bda.h.4\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1012\" src=\"http:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2016\/04\/downloadIcon-e1460499009176.png\" alt=\"Icono de Repositorio - Contenido en la Nube\" width=\"25\" height=\"25\"><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/li><\/ul><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Download\/Descargar | Leer en l\u00ednea T\u00edtulo completo: Introducci\u00f3n al modelo cl\u00e1sico de regresi\u00f3n para cient\u00edficos de datos en R. Autores: Julio C\u00e9sar Alonso C. Colecci\u00f3n: Herramientas del Big Data y Analytics | N\u00famero: 4. Editorial: Universidad Icesi. ISBN: 978-628-7630-70-3 (eBook). A\u00f1o de edici\u00f3n: 2024. Introducci\u00f3n al modelo cl\u00e1sico de regresi\u00f3n para cient\u00edficos de datos en [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":7685,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[814,728],"tags":[324,325,418,442,465,732,736,811,812,869,892,929,930],"class_list":["post-7682","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-herramientas","category-big-data","tag-libro-electronico","tag-libro-de-texto","tag-cienfi","tag-julio-cesar-alonso","tag-descarga-gratuita","tag-analytics","tag-big-data-analytics","tag-lenguaje-estadistico","tag-r-statistics","tag-rstudio","tag-892","tag-fne","tag-fne-2"],"_links":{"self":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts\/7682","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/comments?post=7682"}],"version-history":[{"count":10,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts\/7682\/revisions"}],"predecessor-version":[{"id":8332,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts\/7682\/revisions\/8332"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/media\/7685"}],"wp:attachment":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/media?parent=7682"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/categories?post=7682"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/tags?post=7682"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}