{"id":10622,"date":"2025-07-15T13:34:50","date_gmt":"2025-07-15T13:34:50","guid":{"rendered":"https:\/\/functiontranslator.com\/r-kwadrat\/"},"modified":"2021-02-26T05:24:16","modified_gmt":"2021-02-26T05:24:16","slug":"rsq","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/pl\/rsq\/","title":{"rendered":"R.KWADRAT"},"content":{"rendered":"

Wprowadzenie do analizy wsp\u00f3\u0142czynnika determinacji<\/h2>\n

Funkcja RSQ, znana w polskiej wersji MS Excel oraz Google Sheets jako R.KWADRAT, pozwala na obliczenie wsp\u00f3\u0142czynnika determinacji R2<\/sup> dla dw\u00f3ch zestaw\u00f3w danych. Wsp\u00f3\u0142czynnik R2<\/sup> okre\u015bla, na ile dobrze linia regresji przedstawia dane rzeczywiste, wyra\u017caj\u0105c procent wariancji jednej zmiennej, kt\u00f3ry mo\u017ce by\u0107 wyja\u015bniony przez drug\u0105 zmienn\u0105.<\/p>\n

Syntaktyka i przyk\u0142ady u\u017cycia<\/h2>\n

Syntaktyka funkcji RSQ w Excelu i Google Sheets jest nast\u0119puj\u0105ca:<\/p>\n

=RSQ(znane_y, znane_x)<\/code><\/pre>\n
    \n
  • znane_y<\/strong> – zakres kom\u00f3rek zawieraj\u0105cych dane zale\u017cne (zmienne y).<\/li>\n
  • znane_x<\/strong> – zakres kom\u00f3rek z danymi niezale\u017cnymi (zmienne x), kt\u00f3re pomagaj\u0105 przewidzie\u0107 warto\u015bci y.<\/li>\n<\/ul>\n
    Przyk\u0142ad u\u017cycia:<\/strong><\/p>\n
    =RSQ(A1:A5, B1:B5)<\/code><\/pre>\n
    W tym przyk\u0142adzie funkcja RSQ obliczy wsp\u00f3\u0142czynnik determinacji R\u00b2 dla danych z kom\u00f3rek od A1 do A5 (zmienne y) oraz od B1 do B5 (zmienne x).<\/p>\n
    Zastosowania funkcji R.KWADRAT<\/h2>\n
    Przyk\u0142ad 1: Analiza efektywno\u015bci reklam<\/h2>\n
    Dysponujemy danymi odnosz\u0105cymi si\u0119 do kwot wydanych na reklam\u0119 (x) i wynikaj\u0105cych z tego zysk\u00f3w (y). Chcemy zrozumie\u0107, na ile wydatki na reklam\u0119 mog\u0105 przewidywa\u0107 zmiany w zyskach.<\/p>\n
    Dane:<\/p>\n\n\n\n\n\n\n
    Wydatki na reklam\u0119 (x)<\/th>\nZysk (y)<\/th>\n<\/tr>\n
    1000<\/td>\n3000<\/td>\n<\/tr>\n
    1500<\/td>\n5000<\/td>\n<\/tr>\n
    800<\/td>\n2800<\/td>\n<\/tr>\n
    1200<\/td>\n3400<\/td>\n<\/tr>\n<\/table>\n
    Formu\u0142a do zastosowania:<\/p>\n
    =RSQ(B1:B4, A1:A4)<\/code><\/pre>\n
    Funkcja poka\u017ce si\u0142\u0119 korelacji mi\u0119dzy wydatkami na reklam\u0119 a zyskami, co b\u0119dzie pomocne w planowaniu przysz\u0142ych bud\u017cet\u00f3w marketingowych.<\/p>\n
    Przyk\u0142ad 2: Ocena wp\u0142ywu nauki na wyniki egzamin\u00f3w<\/h2>\n
    Za\u0142\u00f3\u017cmy, \u017ce dysponujemy danymi dotycz\u0105cymi liczby godzin sp\u0119dzonych na nauce (x) i wynik\u00f3w egzamin\u00f3w (y). Analizujemy, czy istnieje zale\u017cno\u015b\u0107 mi\u0119dzy czasem nauki a wynikami egzamin\u00f3w.<\/p>\n
    Dane:<\/p>\n\n\n\n\n\n\n
    Godziny nauki (x)<\/th>\nOceny (y)<\/th>\n<\/tr>\n
    5<\/td>\n50<\/td>\n<\/tr>\n
    8<\/td>\n80<\/td>\n<\/tr>\n
    3<\/td>\n30<\/td>\n<\/tr>\n
    7<\/td>\n70<\/td>\n<\/tr>\n<\/table>\n
    Stosowana formu\u0142a:<\/p>\n
    =RSQ(B1:B4, A1:A4)<\/code><\/pre>\n
    Wyniki oblicze\u0144 pomog\u0105 zrozumie\u0107, jak ilo\u015b\u0107 godzin nauki wp\u0142ywa na osi\u0105gane oceny, co mo\u017ce by\u0107 przydatne szczeg\u00f3lnie dla os\u00f3b ucz\u0105cych si\u0119.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Zwraca kwadrat wsp\u00f3\u0142czynnika korelacji momentu iloczynu Pearsona<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[428],"tags":[],"class_list":["post-10622","post","type-post","status-publish","format-standard","hentry","category-statystyczne"],"acf":[],"yoast_head":"\nFunkcja RSQ (R.KWADRAT) w Excelu \u2013 jak dzia\u0142a, przyk\u0142ady u\u017cycia i sk\u0142adnia<\/title>\n<meta name=\"description\" content=\"Opis funkcji RSQ (R.KWADRAT) w Excelu. 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