{"id":14210,"date":"2025-07-15T13:34:47","date_gmt":"2025-07-15T13:34:47","guid":{"rendered":"https:\/\/functiontranslator.com\/error-tipico-xy\/"},"modified":"2021-02-26T08:58:30","modified_gmt":"2021-02-26T08:58:30","slug":"steyx","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/es\/steyx\/","title":{"rendered":"ERROR.TIPICO.XY"},"content":{"rendered":"

Descripci\u00f3n y Sintaxis<\/h2>\n

La funci\u00f3n ERROR.TIPICO.XY, disponible en ingl\u00e9s como STEYX, se utiliza para calcular el error est\u00e1ndar de la estimaci\u00f3n Y basada en una regresi\u00f3n lineal sobre X. Esta funci\u00f3n es fundamental para evaluar la precisi\u00f3n de las predicciones en an\u00e1lisis estad\u00edsticos y modelos de regresi\u00f3n lineal, siendo especialmente relevante en campos como finanzas, investigaci\u00f3n m\u00e9dica, entre otros, donde las predicciones precisas son esenciales.<\/p>\n

Sintaxis en Excel:<\/strong><\/p>\n

ERROR.TIPICO.XY(matriz_y, matriz_x)<\/code><\/pre>\n
Sintaxis en Google Sheets:<\/strong><\/p>\n
STEYX(matriz_y, matriz_x)<\/code><\/pre>\n
D\u00f3nde:<\/p>\n
    \n
  • matriz_y:<\/strong> corresponde al conjunto de variables dependientes.<\/li>\n
  • matriz_x:<\/strong> representa el conjunto de variables independientes.<\/li>\n<\/ul>\n
    Es crucial que tanto matriz_y<\/code> como matriz_x<\/code> contengan el mismo n\u00famero de elementos y est\u00e9n libres de valores no num\u00e9ricos o celdas vac\u00edas.<\/p>\n
    Ejemplos Pr\u00e1cticos de Aplicaci\u00f3n<\/h2>\n
    Caso 1: Predicci\u00f3n de Ventas<\/h2>\n
    Consideremos un analista de negocios que desea evaluar la precisi\u00f3n de un modelo para predecir las ventas futuras (Y) en funci\u00f3n del gasto en publicidad (X). Los datos disponibles son:<\/p>\n\n\n\n\n\n\n
    Gasto en Publicidad (X)<\/th>\nVentas (Y)<\/th>\n<\/tr>\n
    100<\/td>\n400<\/td>\n<\/tr>\n
    150<\/td>\n600<\/td>\n<\/tr>\n
    200<\/td>\n800<\/td>\n<\/tr>\n
    250<\/td>\n1200<\/td>\n<\/tr>\n<\/table>\n
    Para calcular el error est\u00e1ndar de la estimaci\u00f3n utilizando la funci\u00f3n ERROR.TIPICO.XY, se emplear\u00eda:<\/p>\n
    =ERROR.TIPICO.XY(B2:B5, A2:A5)<\/code><\/pre>\n
    Este resultado proporciona una medida de la variabilidad de los valores predichos respecto a la l\u00ednea de regresi\u00f3n estimada.<\/p>\n
    Caso 2: Evaluaci\u00f3n de Resultados de Ex\u00e1menes<\/h2>\n
    Supongamos un profesor que quiere determinar la precisi\u00f3n en la predicci\u00f3n de las calificaciones finales (Y) de sus estudiantes a partir de las horas de estudio (X). Los datos recopilados son:<\/p>\n\n\n\n\n\n\n
    Horas de Estudio (X)<\/th>\nNotas (Y)<\/th>\n<\/tr>\n
    5<\/td>\n70<\/td>\n<\/tr>\n
    8<\/td>\n82<\/td>\n<\/tr>\n
    12<\/td>\n90<\/td>\n<\/tr>\n
    15<\/td>\n95<\/td>\n<\/tr>\n<\/table>\n
    El error est\u00e1ndar de las predicciones se calcular\u00eda de la siguiente forma:<\/p>\n
    =ERROR.TIPICO.XY(B2:B5, A2:A5)<\/code><\/pre>\n
    Este c\u00e1lculo le ayuda al profesor a entender la variabilidad de las notas anticipadas respecto a las reales, ofreciendo una visi\u00f3n clara de la fiabilidad de las predicciones basadas en las horas de estudio.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Devuelve el error est\u00e1ndar del valor de \u00aby\u00bb previsto para cada \u00abx\u00bb de la regresi\u00f3n<\/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-14210","post","type-post","status-publish","format-standard","hentry","category-estadistica"],"acf":[],"yoast_head":"\nFunci\u00f3n STEYX (ERROR.TIPICO.XY) en Excel \u2013 c\u00f3mo funciona, ejemplos y sintaxis<\/title>\n<meta name=\"description\" content=\"Explicaci\u00f3n breve de la funci\u00f3n STEYX (ERROR.TIPICO.XY) de Excel. 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