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Multipele Regressie, Moderatie en Mediatie $4.28   Add to cart

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Multipele Regressie, Moderatie en Mediatie

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Zie je door de bomen het statistische bos niet meer? Weet je niet meer wanneer, hoe en óf je de statistische test mag gebruiken? Dit handige overzicht helpt! Per test is te vinden wat de voorwaarden zijn en hoe je die kunt controleren, hoe je de toetsresultaten moet interpreteren en hoe je de toet...

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  • July 24, 2020
  • 4
  • 2019/2020
  • Visual
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1  review

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By: sophieverheijden • 2 year ago

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Predictor (X) moet
variantie hebben
(non- zero variance)



X en Y minimaal
P,P-plot: punten R: de relatie tuss
interval meetniveau
volgen de lijn en Ŷ
(of X dichotoom)



Histogram: volgt de Normaalverdeelde R2: hoeveel varia
normaalcurve residuen verklaard wordt
het model
Voorwaarden
Analyse
checken
F-toets: versch
Puntenwolk: op assen Afwezigheid van variantie wann
variabelen uitschieters vergeleken m
eerder mode


X-as: Regression Adjusted R2
Standardised Lezen in Onafhankelijkheid geschatte percen
Predicted Value methodesectie van waarnemingen verklaarde varian
(ZPRED) de populatie

Multipele regressie
Y-as: Regression Plot: evenveel
Regressie-
Standardised spreiding op X-as als Homoscedasticiteit
coëfficienten
Residual (ZRES) op Y-as


Analyze >> Graphs
Regressielijnen van
>> Scatter plot Lineaire relatie tussen
verschillende functies
>> Chart editor X en Y
laten trekken
(dubbel klikken)
Uitvoering

Tolerance < 0.2 Afwezigheid van Blokken toevoegen
Tabel Coefficients
mogelijk probleem multicollineariteit per extra relevante
variabele



Tolerance < 0.1 Collinearity Analyze >>
Enkele regressie Multipele regressie Statistics
probleem diagnostics Regression >> Linear




VIF > 10 Descriptives


VIF=1/Tolerance Statistics Plots

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