Testing the Assumption of Independent Errors with ZRESID, ZPRED, and Durbin-Watson using SPSS

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  • Опубликовано: 1 дек 2015
  • This video demonstrates how test the assumption of independent errors in SPSS. Plotting the standardized residuals (ZRESID) against the standardized predicted values (ZPRED) is reviewed as well as calculating and interpreting the Durbin-Watson statistic.

Комментарии • 9

  • @sharellemel
    @sharellemel 4 года назад +2

    Dr. Todd you may have just saved my psych thesis, thank you my hero

  • @mimimcgee5512
    @mimimcgee5512 2 года назад +1

    Great video, thank you! I was planning the Durbin-Watson to test my independent assumption in my dissertation but this video helped me to understand why that wouldn't be the best choice for my study. I will stick with the scatterplot. Thank you! I have been relying on your videos the last few days.

  • @boogiemie
    @boogiemie 6 лет назад +3

    Very clear and helpful explanation. Thank you!

  • @EYDuff
    @EYDuff 8 лет назад

    This was very helpful for my econometrics assignment, thank you very much!

  • @baktashjami
    @baktashjami 5 лет назад

    Can you do a video on discrete and limited dependent variable models? I appreciate if the video is done in a way to explain every step and what each specific value mean the way you explain what does it mean when we have 2 for Durbin Watson versus 4 or less. Thanks,

  • @robertphua7720
    @robertphua7720 Год назад

    great video, thank you

  • @payalananmba
    @payalananmba 8 лет назад +1

    Dear Sir,
    How to test for endogeneity when my data is cross section with no order as such. Also, does this test apply on a multivariate model?
    Regards

  • @akmalshahzad7063
    @akmalshahzad7063 4 года назад

    is this test apply to data collected by using a questionnaire? which test we use to check the guass Markov assumption for questionnaire-based data

  • @RahulKumar-wd1yf
    @RahulKumar-wd1yf 2 года назад

    I am getting value of 2.11 for Durbin Watson ?? What does it imply ??