Multiple linear regression II: model fit (R2, R2 adj), model comparisons, collinearity, dummy variables, including interaction

4 important questions on Multiple linear regression II: model fit (R2, R2 adj), model comparisons, collinearity, dummy variables, including interaction

Wat is the variance inflation factor VIF, en hoe kun je het interpreteren?

VIF staat voor large variance inflation factor. Een mate van multicollineariteit

What are 3 precautions before fitting the model to prevent collinearity?

- limit the number of x-variables, by making judicious choices
beforehand
- when two x-variables are expected to be strongly related, use only
one
of them
- inspect correlations among potential x-variables

What are 3 remedies for collinearity after fitting the model?

3 remedies for collinearity after fitting the model are:
- inspect standard errors and VIFs
- fit models with subsets of x-variables as well and see what happens
- if necessary, use another method than least squares estimation
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What is a dummy variable in regression?

A dummy variable in regression is een binaire variabele die categorische informatie omzet in cijfers, waarbij:
  • 1 = aanwezigheid van een bepaalde categorie/eigenschap
  • 0 = afwezigheid van die categorie/eigenschap

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