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  • Homoskedasticity



    I have created a "residual-vs-fitted value" plot in order to check for the assumption of homosckedasticity of my residuals. However I don't know how to interpret the results since my dependent variable is discrete, could the result of the graph be read as a random cloud?

  • #2
    .
    Last edited by Giovanni Abronzino; 17 Apr 2020, 11:38.

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    • #3
      I have created a "residual-vs-fitted value" plot in order to check for the assumption of homosckedasticity of my residuals. However I don't know how to interpret the results since my dependent variable is discrete, could the result of the graph be read as a random cloud?
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      • #4
        Grace:
        it seems that when the fitted values increase from 5 onwards, residual dispersion increses as well up to 6 and then stays about the same.
        Did you perform -estat hettest- after -regress-?
        Kind regards,
        Carlo
        (Stata 19.0)

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        • #5
          yes I did white test and estat hettest, but with white test there is Heteroskedasticity while with hettest there is Homoskedasticity

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          • #6
            Grace:
            in doubt go -robust- standard error.
            Kind regards,
            Carlo
            (Stata 19.0)

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