{"id":14068,"date":"2025-07-15T13:34:47","date_gmt":"2025-07-15T13:34:47","guid":{"rendered":"https:\/\/functiontranslator.com\/estimacion-lineal\/"},"modified":"2021-02-26T08:53:14","modified_gmt":"2021-02-26T08:53:14","slug":"linest","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/es\/linest\/","title":{"rendered":"ESTIMACION.LINEAL"},"content":{"rendered":"

Introducci\u00f3n a la funci\u00f3n de estimaci\u00f3n lineal<\/h2>\n

La funci\u00f3n ESTIMACION.LINEAL, conocida en ingl\u00e9s como LINEST, es una herramienta fundamental en Microsoft Excel y Google Sheets para llevar a cabo regresiones lineales. Esta funci\u00f3n aplica el m\u00e9todo de m\u00ednimos cuadrados para ajustar una l\u00ednea a un conjunto de datos, ofreciendo una manera eficaz de predecir valores futuros basados en datos hist\u00f3ricos.<\/p>\n

Sintaxis y ejemplos de uso<\/h2>\n

La sintaxis de ESTIMACION.LINEAL es la siguiente:<\/p>\n

ESTIMACION.LINEAL(conocido_y, [conocido_x], [constante], [estad\u00edsticas])<\/code><\/pre>\n
    \n
  • conocido_y<\/strong>: Arreglo o rango de datos dependientes ‘y’.<\/li>\n
  • conocido_x<\/strong>: (opcional) Arreglo o rango de datos independientes ‘x’. Si se omite, Excel asume que estos son los enteros consecutivos comenzando desde 1.<\/li>\n
  • constante<\/strong>: (opcional) Un valor booleano que indica si incluir o no el t\u00e9rmino constante (b0) en el modelo. TRUE (o omitir) para incluir b0, FALSE para que la l\u00ednea pase por el origen.<\/li>\n
  • estad\u00edsticas<\/strong>: (opcional) Un valor booleano que determina si se deben devolver estad\u00edsticas adicionales o s\u00f3lo los coeficientes de la regresi\u00f3n. TRUE para obtener estad\u00edsticas adicionales.<\/li>\n<\/ul>\n
    Ejemplo pr\u00e1ctico en Excel:<\/p>\n
    =ESTIMACION.LINEAL(A2:A10, B2:B10, VERDADERO, VERDADERO)<\/code><\/pre>\n
    Este ejemplo ofrece los coeficientes de una regresi\u00f3n lineal, incluyendo el t\u00e9rmino independiente, y estad\u00edsticas adicionales como el R cuadrado, el error est\u00e1ndar y el valor F de la estad\u00edstica.<\/p>\n
    Aplicaciones pr\u00e1cticas de la funci\u00f3n<\/h2>\n
    Previsi\u00f3n de ventas futuras<\/h2>\n
    Imagine que dispone de los datos de ventas de los \u00faltimos meses y desea proyectar las ventas futuras:<\/p>\n
    Meses: 1, 2, 3, 4, 5, 6, 7, 8, 9 Ventas: 120, 150, 170, 160, 200, 210, 230, 190, 220<\/code><\/pre>\n
    Utilizar\u00edamos ESTIMACION.LINEAL de la siguiente manera en Excel:<\/p>\n
    =ESTIMACION.LINEAL(B2:B10, A2:A10)<\/code><\/pre>\n
    En este caso, B2:B10 contiene las ventas mensuales y A2:A10 contiene los meses correspondientes. Esta f\u00f3rmula devuelve los coeficientes del mejor ajuste lineal para estos datos.<\/p>\n
    An\u00e1lisis de resultados de experimentos<\/h2>\n
    En un entorno experimental, suponga que se midieron los efectos de diferentes dosis de un nutriente sobre el crecimiento de plantas:<\/p>\n
    Dosis (mg): 0, 20, 40, 60, 80, 100 Crecimiento (cm): 0, 2, 5, 8, 9, 11<\/code><\/pre>\n
    Para explorar la relaci\u00f3n dosis-respuesta utilizar\u00edamos:<\/p>\n
    =ESTIMACION.LINEAL(B2:B7, A2:A7)<\/code><\/pre>\n
    Este ejemplo proporciona una base para entender c\u00f3mo el crecimiento de las plantas var\u00eda en funci\u00f3n a la dosis administrada, lo cual es crucial para decisiones futuras sobre dosificaci\u00f3n.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Devuelve los par\u00e1metros de una tendencia lineal<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[540],"tags":[],"class_list":["post-14068","post","type-post","status-publish","format-standard","hentry","category-estadistica"],"acf":[],"yoast_head":"\nFunci\u00f3n LINEST (ESTIMACION.LINEAL) en Excel \u2013 c\u00f3mo funciona, ejemplos y sintaxis<\/title>\n<meta name=\"description\" content=\"Explicaci\u00f3n breve de la funci\u00f3n LINEST (ESTIMACION.LINEAL) de Excel. 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