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Exam Guide for Applied Multivariate Data Analysis – Get yourself a Wonderful Grade!
Summary of Statistics (IBC), Radboud University
Answers assignment 3 business research methods
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Universiteit Utrecht (UU)
Statistiek
Statistiek
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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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