a және b параметрлерін анықтау үшін нормаль теңдеулер жүйесін шешу керек:
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)
а және b коэффициенттерін мына формулалар бойынша табуға болады :
Корреляциялық байланыс теңдеуі регрессияның теориялық сызығын есептеу үшін қолданылады. Белгілер арасындағы тығыздық байланыс дәрежесін анықтау үшін негізінен эконометрика пәнінде корреляция коэффициенті қолданылады.
Корреляция коэффициенттің мәндері [-1;1] аралықта өзгереді, яғни -1
Егер бұл коэффициент онда белгілер арасында байланыс әлсіз ; егер 0,3 онда байланыс орташа ;
Егер онда байланыс күшті немесе тығыз.
Егер |r| =1 онда байланыс функционалдық.
Егер r= 0 онда белгілер арасында сызықтық байланыс жоқ деп айтады. Корреляция коэффициенті r- дың мәндері әлеуметтік – экономикалық құбылыстар зерттеуіне үлкен әсер көрсетеді.Яғни мұның бәрінен қисық сызықты байланыстар түсіндірмесі және бағасы болып саналады.
Достарыңызбен бөлісу: |