{"id":5582,"date":"2025-07-15T13:34:45","date_gmt":"2025-07-15T13:34:45","guid":{"rendered":"https:\/\/functiontranslator.com\/forecast\/"},"modified":"2021-02-26T09:55:35","modified_gmt":"2021-02-26T09:55:35","slug":"forecast","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/cs\/forecast\/","title":{"rendered":"FORECAST"},"content":{"rendered":"

Obecn\u00fd popis a pou\u017eit\u00ed p\u0159edpov\u011bdn\u00ed funkce<\/h2>\n

V MS Excelu a Google Tabulk\u00e1ch je p\u0159edpov\u011bdn\u00ed funkce kl\u00ed\u010dov\u00e9 n\u00e1stroje pro predikci budouc\u00edch hodnot na z\u00e1klad\u011b existuj\u00edc\u00edch datov\u00fdch bod\u016f. Tato funkce je u\u017eite\u010dn\u00e1 v situac\u00edch, kde m\u00e1me k dispozici historick\u00e1 data a chceme na jejich z\u00e1klad\u011b odhadnout budouc\u00ed hodnoty. P\u0159edpokl\u00e1d\u00e1 line\u00e1rn\u00ed vztah mezi daty. <\/p>\n

Syntaxe funkce se m\u00edrn\u011b li\u0161\u00ed mezi ob\u011bma platformami, ale z\u00e1kladn\u00ed principy jsou stejn\u00e9. Vstupem do funkce jsou zn\u00e1m\u00e9 y-hodnoty (z\u00e1visl\u00e9 prom\u011bnn\u00e9), zn\u00e1m\u00e9 x-hodnoty (nez\u00e1visl\u00e9 prom\u011bnn\u00e9) a x-hodnota, pro kterou chceme y-hodnotu predikovat. <\/p>\n

 
 Syntaxe v MS Excel: FORECAST(x, known_y's, known_x's) Syntaxe v Google Tabulk\u00e1ch: FORECAST(x, known_data_y, known_data_x) <\/code><\/p> <\/pre>\n
 Zde x<\/code> je hodnota nez\u00e1visl\u00e9 prom\u011bnn\u00e9, pro kterou chceme vypo\u010d\u00edtat odhadovanou hodnotu. known_y's<\/code> a known_data_y<\/code> jsou zn\u00e1m\u00e9 y-hodnoty, zat\u00edmco known_x's<\/code> a known_data_x<\/code> jsou zn\u00e1m\u00e9 x-hodnoty. <\/p>\n
Praktick\u00e9 p\u0159\u00edklady pou\u017eit\u00ed<\/h2>\n
 N\u00e1sleduj\u00ed dva praktick\u00e9 p\u0159\u00edklady, jak je mo\u017en\u00e9 vyu\u017e\u00edt p\u0159edpov\u011bdn\u00ed funkci pro re\u00e1ln\u00e9 \u00fakoly v oblasti anal\u00fdzy dat. <\/p>\n
P\u0159\u00edklad 1: Predikce prodej\u016f<\/h3>\n
 P\u0159edstavte si, \u017ee m\u00e1te data o m\u011bs\u00ed\u010dn\u00edch prodej\u00edch va\u0161\u00ed firmy za posledn\u00ed 3 roky a chcete p\u0159edpov\u011bd\u011bt prodeje pro n\u00e1sleduj\u00edc\u00ed m\u011bs\u00edc. <\/p>\n
    \n
  • M\u011bs\u00ed\u010dn\u00ed data (x): 1, 2, 3,…36<\/li>\n
  • Prodeje (y): hodnoty prodej\u016f pro ka\u017ed\u00fd m\u011bs\u00edc<\/li>\n<\/ul>\n
     Predikce pro 37. m\u011bs\u00edc by pak vypadala takto: <\/p>\n
     
     =FORECAST(37, B2:B37, A2:A37) <\/code><\/p> <\/pre>\n
     Tento vzorec p\u0159edpokl\u00e1d\u00e1, \u017ee hodnoty x (m\u011bs\u00edce) jsou v bu\u0148k\u00e1ch A2:A37 a hodnoty y (prodeje) jsou v bu\u0148k\u00e1ch B2:B37. <\/p>\n
    P\u0159\u00edklad 2: Odhad cen nemovitost\u00ed<\/h3>\n
     M\u00e1te data o velikosti nemovitost\u00ed (v metrech \u010dtvere\u010dn\u00edch) a jejich prodejn\u00edch cen\u00e1ch. Chcete odhadnout cenu nemovitosti o velikosti, kter\u00e1 nen\u00ed p\u0159\u00edmo ve Va\u0161ich datech. <\/p>\n
      \n
    • Velikost nemovitosti (x): 50, 75, 100, 125, 150<\/li>\n
    • Prodejn\u00ed ceny (y): odpov\u00eddaj\u00edc\u00ed ceny jednotliv\u00fdch nemovitosti<\/li>\n<\/ul>\n
       Pokud chcete odhadnout cenu nemovitosti o velikosti 90 m\u00b2: <\/p>\n
       
       =FORECAST(90, B2:B6, A2:A6) <\/code><\/p> <\/pre>\n
       Tento vzorec uva\u017euje, \u017ee hodnoty x (velikost nemovitosti) jsou v bu\u0148k\u00e1ch A2:A6 a hodnoty y (ceny) jsou v bu\u0148k\u00e1ch B2:B6. <\/p>\n
      Z\u00e1v\u011br<\/h2>\n
       Funkce pro p\u0159edpov\u011bdi je extr\u00e9mn\u011b u\u017eite\u010dn\u00e1 pro r\u016fzn\u00e9 aplikace vy\u017eaduj\u00edc\u00ed predikci na z\u00e1klad\u011b historick\u00fdch dat. Hod\u00ed se pro finan\u010dn\u00ed analytiky, realitn\u00ed agenty, obchodn\u00ed pl\u00e1nova\u010de a mnoho dal\u0161\u00edch profes\u00ed. D\u00edky jej\u00edmu pou\u017eit\u00ed m\u016f\u017eeme l\u00e9pe pl\u00e1novat a p\u0159ipravovat na budouc\u00ed v\u00fdvoj situac\u00ed. <\/p>\n","protected":false},"excerpt":{"rendered":"
      Vr\u00e1t\u00ed hodnotu line\u00e1rn\u00edho trendu<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[287],"tags":[],"class_list":["post-5582","post","type-post","status-publish","format-standard","hentry","category-statisticke"],"acf":[],"yoast_head":"\nFunkce FORECAST v Excelu: jak funguje, primjeri kori\u0161tenja formule<\/title>\n<meta name=\"description\" content=\"Opis funkcije FORECAST u Excelu i Google tablicama. 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