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Akademi Merkonomer Statistik Aften 9

Akademi Merkonomer Statistik Aften 9. 2011.11.22 lth@campusvejle.dk. Denne aften. Introduktion til dagen Afleveringen Lineær Regression Multipel Lineær Regression Evaluering. Lineær regression, data i to dim. Excell koder: DK = middel() and =varians().

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Akademi Merkonomer Statistik Aften 9

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  1. Akademi MerkonomerStatistikAften 9 2011.11.22 lth@campusvejle.dk

  2. Denne aften • Introduktion til dagen • Afleveringen • Lineær Regression • Multipel Lineær Regression • Evaluering

  3. Lineær regression, data i to dim. Excell koder: DK =middel() and =varians()

  4. Lineær regression, et billede

  5. Lineær regression, korrelation r=0,833 ser ud som en positiv tendens, der kan testes. Excel: DK p=TFORDELING(t;n-1;2)

  6. Den simple lineære model

  7. Excell->Data->Dataanalyse->Regression Forklaringsgrad. Er modellen signifikant ? Parameter værdier Teststørrelser (er par=0)

  8. Method of leastsquares.: http://www.dynamicgeometry.com/JavaSketchpad/Gallery.html

  9. Sum of Squares…

  10. Forklaringsgraden Da forklaringsgraden øges med antallet af parametre er der indført en R-Adjusted, der straffer for øget antal parametre. Brug R-Adjusted i udskrifterne !

  11. Holder modellen ?

  12. Multipel Lineær Regression

  13. Multiple regression • Rejsebureau, Kolonner.: • - Antal modtagneopkald • Antal annoncer sidste uge • Antal modtagne opkald forrige uge • Antal bestilte rejser følgende uge • Excell->Data->Datanalyse->Korrelation • Excell->Data->Datanalyse->Regression

  14. Regression 3 variable

  15. 2 Regressions variable, reduceret

  16. 1 Regression variabel tilbage

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