Regression analysis in SPSS: identifying and managing heteroskedasticity (July 2019)

This video discusses how to assess your data for the presence of heteroskedasticity (i.e., non-constant variance in your regression results), as well as one strategy (use of heteroskedasticity-consistent estimator) for dealing with this problem in regression analysis. All demonstrations are carried out using SPSS. A copy of the Powerpoint can be downloaded here: drive.google.com/open?id=1Xyc... . A copy of the data can be downloaded here: drive.google.com/open?id=1hD7... .
For more videos on regression analysis, download a document containing a list of links here: drive.google.com/open?id=1tpq...
Thanks for watching!

[@AK-cy8pr]

This might not be the mostly watched vieo on youtube, but I am sure you saved everyone's life who watched it, mine for sure!

[@mikecrowson2462]

Hi there. Thanks for your comment! Glad you found it useful. Best wishes!

[@couragee1]

thank you!

[@tasoruha]

11:07
Hi, thanks for the great video.
Just wondering how you come up with a threshold line below 4?
It would be great if you could suggest me some references for value 4.

[@krisandrewborero910]

Hi, Mike. I would like to ask why the studentized predicted value was used, and not the standardized predicted value. Thanks!

[@amnagul1019]

Binary coded variables should be entered in the fixed factors column ?

[@intanputri7288]

so if we're fixing the heteroscedasticity with robust standard errors and wanted to know partial/t-test f-test and the coefficient of determination, which result to use? the one with robust standards error or the regular linear regression? thanks in advance

[@nsk7777]

I am unable to views White test F test in my version 23