{"id":5740,"date":"2025-07-15T13:34:45","date_gmt":"2025-07-15T13:34:45","guid":{"rendered":"https:\/\/functiontranslator.com\/pearson\/"},"modified":"2021-02-26T10:01:10","modified_gmt":"2021-02-26T10:01:10","slug":"pearson","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/cs\/pearson\/","title":{"rendered":"PEARSON"},"content":{"rendered":"

Popis funkce<\/h2>\n

Funkce PEARSON v Microsoft Excel a Google Sheets slou\u017e\u00ed k v\u00fdpo\u010dtu Pearsonova korela\u010dn\u00edho koeficientu r, kter\u00fd m\u011b\u0159\u00ed s\u00edlu a sm\u011br line\u00e1rn\u00edho vztahu mezi dv\u011bma prom\u011bnn\u00fdmi. Hodnota r se pohybuje v rozmez\u00ed od -1 do 1, kde -1 odpov\u00edd\u00e1 perfektn\u00ed negativn\u00ed korelaci, 1 odpov\u00edd\u00e1 perfektn\u00ed pozitivn\u00ed korelaci a 0 znamen\u00e1 absence korelace.<\/p>\n

Syntaxe funkce<\/h2>\n

Funkce PEARSON vy\u017eaduje dva argumenty, kter\u00e9 jsou typicky zadan\u00e9 jako dv\u011b oblasti dat:<\/p>\n

 PEARSON(matica1, matica2)<\/code> <\/pre>\n
    \n
  • matica1<\/strong> – prvn\u00ed sada dat pro korela\u010dn\u00ed anal\u00fdzu.<\/li>\n
  • matica2<\/strong> – druh\u00e1 sada dat pro korela\u010dn\u00ed anal\u00fdzu.<\/li>\n<\/ul>\n
    Oba argumenty mus\u00ed m\u00edt stejn\u00fd po\u010det datov\u00fdch bod\u016f a nesm\u011bj\u00ed obsahovat pr\u00e1zdn\u00e9 bu\u0148ky, aby nedo\u0161lo k chybov\u00fdm v\u00fdsledk\u016fm.<\/p>\n
    Praktick\u00e9 \u00fakoly<\/h2>\n
    \u00dakol 1: Korelace mezi prodejem a reklamou<\/h2>\n
    P\u0159edstavte si, \u017ee disponujete daty o v\u00fddaj\u00edch na reklamu a m\u011bs\u00ed\u010dn\u00edm prodeji produktu. C\u00edlem je zjistit, jak jsou tyto dv\u011b veli\u010diny vz\u00e1jemn\u011b propojeny.<\/p>\n\n\n\n\n\n
    M\u011bs\u00edc<\/th>\nV\u00fddaje na reklamu (tis. K\u010d)<\/th>\nProdeje (ks)<\/th>\n<\/tr>\n
    Leden<\/td>\n50<\/td>\n200<\/td>\n<\/tr>\n
    \u00danor<\/td>\n80<\/td>\n250<\/td>\n<\/tr>\n
    B\u0159ezen<\/td>\n60<\/td>\n225<\/td>\n<\/tr>\n<\/table>\n
    K v\u00fdpo\u010dtu korelace pou\u017eijeme funkci PEARSON:<\/p>\n
     =PEARSON(B2:B4, C2:C4)<\/code> <\/pre>\n
    V\u00fdsledek, nap\u0159\u00edklad hodnota 0.96, nazna\u010duje silnou pozitivn\u00ed korelaci mezi v\u00fddaji na reklamu a prodejem produktu.<\/p>\n
    \u00dakol 2: Studie v\u00e1hy a v\u00fd\u0161ky<\/h2>\n
    Pokud zkoum\u00e1te vztah mezi v\u00fd\u0161kou a v\u00e1hou skupiny jedinc\u016f, m\u016f\u017eete pou\u017e\u00edt Pearson\u016fv korela\u010dn\u00ed koeficient k anal\u00fdze dat.<\/p>\n\n\n\n\n
    \u010c\u00edslo respondentu<\/th>\nV\u00fd\u0161ka (cm)<\/th>\nV\u00e1ha (kg)<\/th>\n<\/tr>\n
    1<\/td>\n172<\/td>\n68<\/td>\n<\/tr>\n
    2<\/td>\n178<\/td>\n72<\/td>\n<\/tr>\n<\/table>\n
    V\u00fdpo\u010det korela\u010dn\u00edho koeficientu pomoc\u00ed funkce PEARSON je zrealizov\u00e1n takto:<\/p>\n
     =PEARSON(B2:B3, C2:C3)<\/code> <\/pre>\n
    V\u00fdsledek, t\u0159eba hodnota 0.5, ukazuje st\u0159edn\u00ed pozitivn\u00ed korelaci mezi v\u00fd\u0161kou a v\u00e1hou osob.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Vr\u00e1t\u00ed Pearson\u016fv v\u00fdsledn\u00fd momentov\u00fd korela\u010dn\u00ed koeficient<\/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-5740","post","type-post","status-publish","format-standard","hentry","category-statisticke"],"acf":[],"yoast_head":"\nFunkce PEARSON v Excelu: jak funguje, primjeri kori\u0161tenja formule<\/title>\n<meta name=\"description\" content=\"Opis funkcije PEARSON u Excelu i Google tablicama. 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