Testing for Heteroscedasticity in Regression using SPSS

This video demonstrates how to test for heteroscedasticity (heteroskedasticity) for linear regression using SPSS. The standardized predicted variables are plotted against the standardized residuals and the resulting scatterplot is interpreted.

[@reggierosario4708]

Thanks Dr. Grande. That was incredible !

[@mrbrainin9502]

Great videos!

[@altheanixon8770]

Thanks for the video very helpful. Do you have a video on multiple regression using the output estimate, model fit, collinearity diagnostics and plots.

[@yingtang591]

Thank you very much.......

[@AMBROSEJACOBAKONA-rx6wn]

Its really very helpful thanks Dr

[@thegoonist]

do i do the same for multiple indep variables? i.e. just add more variables into the 'indep variable' box?

[@sebastienboillat42]

how can I test hetreoscedasticity when the indpendent (predictor) variables are yes/no (1/0 dummy) variables? I then get two columns with points.

[@getpsyched4778]

So if I do violate the assumption of homoscedasticity... what do I do?

[@milimomashini9432]

just use variance stability transformation by transform the response variable because heterodasticity means the response are not from normal population

[@hajraijaz4861]

if there is hetroscedasticity exist in data then what will we do?

[@karunarathore602]

What in such cases